Table of contents

Introduction
1. The Architecture of a Data Lakehouse
2. Use Cases and Applications of Data Lake House Architecture
Final thoughts

Introduction

In this digital world, data is an important asset; however, organizations are searching for storage solutions that will help them manage big data’s volume, latency, resiliency, and data access requirements. Traditionally, companies used existing tech stacks that delivered the same capabilities as a warehouse or lake but had adjustments in handling massive amounts of semi-structured data. These approaches often resulted in high costs and data duplication across all businesses. 

The emergence of data lake houses as a hybrid data architecture aims to deliver better benefits as it eliminates data silos, anticipating unified and Hadoop-based storage for analytics that could consolidate data storage and analysis. 

Therefore, for a better understanding of Data Lakehouse, AITech Park brings you this exclusive article where we will talk about the architecture of Data Lake House with a few case studies and application areas.

1. The Architecture of a Data Lakehouse

We are well aware that Data Lake House is a flexible storage with all the data management features that can handle massive amounts of data of various types, from structured to semi-structured and unstructured, while ensuring data governance, quality, and reliability. However, the data lake house is incomplete without discussing its architecture. 

1.1. The Entry Point: Ingestion Layer

In the data lake house structure, the ingestion layer is considered the starting point where it collects and imports data from multiple sources, such as IoT devices, online activities, social networks, and many more. This handles both the batches and further processes through real-time streams, ensuring that data is accurately delivered and stored for further processing. 

1.2. The Second Level: Storage Layer

The heart of the data lakehouse lies the “storage layer,” where the data is kept in a raw form. This layer is designed to stow the vast amounts of unstructured and structured data distributed on cloud storage solutions such as Amazon S3, Azure Data Lake Storage, or Google Cloud Storage. 

1.3. The Third Level: Metadata Layer

The metadata layers act as a data lake house catalog that helps in managing information about data stored within the structure, format, and lineage. This layer supports data governance and access control, a unified view of data assets, making it easier for users to find the understandable information that they might need.

1.4. The Fourth Level: Processing Layer

This is where the data transformation takes place, as it involves cleaning, enriching, and transforming raw data into a more usable format for analysis. Utilizing processing engines such as Apache Spark or Databricks, this layer can handle both batch processing for large-scale data sets and real-time processing for essential insights. 

1.5. The Fifth Level: Governance and Security Layer

To run the data lakehouse, data security, and governance are important to ensure data integrity, quality, and compliance with privacy regulations; they help in protecting against unauthorized access. This also encompasses policies and mechanisms that aid in data access, control, auditing, and ensuring that data usage is adhered to all organizational standards and legal processes. 

1.6. The Sixth Level: Query and Serving Layer

This is the last level where all the queries and serving are conducted, enabling efficient retrieval and querying of data for SQL-like interfaces, APIs, or any specialized engines such as Apache Hive or Pesto. This layer is crucial for data scientists and analysts as it allows them to perform any sort of complex query and further store them within the lakehouse. 

1.7. The Last Level: Analytics and Visualization Layer

Lastly, we have the analytics and visualization layer, where data is turned into real insights that can be further integrated with numerous analytical and business intelligence tools like Power BI, Tableau, or Looker. This is the key level where decision-makers come into the picture to make actionable and supporting decision-making that will aid the organization. 

Each of these layers in the data lakehouse architecture plays an important role in ensuring that the data is collected, stored, managed, and analyzed to stay ahead of the competitive edge.

However, for a better understanding of the powers of Data Lakehouse, here are a few organizations that have transformed their industries’ operations and supplied a centralized storage system for their constantly generated data.

2. Use Cases and Applications of Data Lake House Architecture 

Several companies have started adopting data lake house architecture to unlock the value of their data. Netflix, for example, uses Apache Iceberg, a data lakehouse provider with a new table format that solves problems related to large-scale analytics and provides seamless transactions without deterring the data. 

Similarly, Notion scaled up its data infrastructure by creating an in-house lakehouse to manage rapid data development and meet product demands. Their data lake house architecture uses S3 for storage, Kafka and Debezium for data ingestion, and Apache Hudi for efficient data management, which saves up 35% of their expenses along with enhancing capacities for analytics and product development.

Even the tech giant Atlassian has adopted a data lake house architecture to facilitate data democratization at a large scale. By transitioning to a lakehouse, Atlassian decreased the unnecessary data storage, computing, and overhead expenses, enhanced data governance, and provided self-sufficiency for their data engineers and scientists to research and execute analyses that drive innovation.

Final thoughts

With time, the Data Lake House architecture has become more flexible and powerful as it enables companies to gain insights from large datasets and further efficiently manage data to make data-driven decisions faster. This transmission also introduces data observability that will play an important role in monitoring and maintaining the data quality of the datasets within the lakehouse.

Explore AITechPark for top AI, IoT, Cybersecurity advancements, And amplify your reach through guest posts and link collaboration.

The post The Introduction of Data Lakehouse Architecture first appeared on AI-Tech Park.

Table of Content

Introduction
1. The Role of Product Managers in the Digital World
1.1. Data Analysis and Interpretation
1.2. Product Vision and Strategy
1.3. User Experience and Design
2. Four Product Management Certifications
2.1. Product Management Program by CareerFoundry
2.2. New Product Development Professional (NPDP) Certification by PDMA
2.3. Certified Product Marketing Manager by AIPMM
2.4. SAFe Product Owner/Product Manager by Scaled Agile, Inc.
Conclusion

Introduction

Today, in the field of technology, product management is rapidly changing because of artificial intelligence (AI) and machine learning (ML). With these quick advancements in technology and the ever-growing reliance on data-driven decision-making, product managers find themselves at odds; they must forget old ways to learn new ones that fit into this digital age.

Rather than simply managing cutting-edge products or services developed by others, a product manager in today’s IT organization should be viewed as someone who can transform everything about them using any new technique or technology available while also engaging stakeholders like never before.

This article gives an overview of what the digital world means for you as a product manager and some popular certifications in this area.

1. The Role of Product Managers in the Digital World

Product managers should know the different technologies that are currently being used to process data, understand what each one does best, and how they can be applied.They need not only technical skills but also business acumen to identify many areas where innovation is possible within an organization through the use of data-driven strategies. These strategies will then guide them towards coming up with insights that will push for invention around those areas, leading to the successful launch of new products or services under their control.

1.1. Data Analysis and Interpretation

Product managers need to analyze large and complex datasets and identify trends, patterns, and insights to make informed decisions on product development optimization. They also need to collaborate with data scientists to develop product models, perform necessary statistical analysis, and conduct A/B testing. 

1.2. Product Vision and Strategy

The PM needs to work closely with different teams, which include business stakeholders, data scientists, and software engineers, to identify the product vision and roadmap. Along with that, PM needs to develop business cases to create a data-driven presentation and communicate the product vision and strategy to their stakeholders. 

1.3. User Experience and Design

Collaboration with UI and UX designers to create user-friendly and intuitive interfaces that enable customers to interact with data-driven services and products. The product managers need to conduct user research and usability testing to comprehend the customer’s needs and preferences and develop user personas and journey maps to inform product development and optimize UX. Let’s use an understanding of the top four trending product management certification courses that product managers can consider to build a strong portfolio in the competitive market.

2. Four Product Management Certifications

A product management certification is a great way for a product manager to refine their knowledge and gain insight into current AI and data-based product development ideas and product management strategies.

2.1. Product Management Program by CareerFoundry 

The Product School offers three product management certificates exclusively designed for different levels. The beginner level is for students who have yet to gain prior experience, as it covers basics such as assessing target opportunities, building software products, and how to launch a great product. The second level is exclusively for the Product Leader Certificate, which requires 2-4 years of knowledge as a PM and demands competence with DevOps, data analytics, AI, and ML technical skills. Post-certification, the product leader will learn about product strategy, user research, and the UX/UI design process. The final program is a product executive certificate that is customized for senior-level professionals with experience in a product leadership role to explore the demand for product leadership fundamentals and manage the growth of new technological products. 

2.2. New Product Development Professional (NPDP) Certification by the PDMA

The Product Development and Management Association’s (PDMA) New Product Development Professional (NPDP) Certification is recognized as one of the best product management courses. It is designed for PM professionals with at least two years of experience in product development or innovation and seeks to cover key areas of product strategy portfolio management, new product processes, tools, and metrics, market research, and lifecycle management. By earning this certification, you will understand the best industrial practices and improve in the field of product development.

2.3. Certified Product Marketing Manager by the AIPMM

The Certified Product Marketing Manager (CPMM) course offered by the Association of International Product Marketing and Management (AIPMM) is quite famous among product marketing professionals. The core program focuses on strategic marketing, product lifecycle management, and go-to-market strategies. The certification process requires professional skills to manage and market products, followed by rigorous coursework and examinations.  

2.4. SAFe Product Owner/Product Manager by Scaled Agile, Inc.

Scaled Agile, Inc.’s SAFe Product Owner/Product Manager (POPM) Certification is exclusively curated for product managers, agile coaches, scrum masters, and project managers with Agile experience. This course equips professionals with skills to effectively operate within the Scaled Agile Framework and empowers them to enhance Lean-Agile practices and foster collaboration between teams and stakeholders. It involves training on backlog management, understanding customers’ needs, and delivering the right features for successful product development. 

Conclusion 

Product managers are the cornerstone of this ever-evolving digital age, as they play an essential role in harnessing the power of data and AI to drive business growth, sustainability, and customer satisfaction. As of 2024 and beyond, the role of the PM needs to have a remarkable combination of technical, business, and interpersonal skills that will reshape the future of business across industries. 

Explore AITechPark for top AI, IoT, Cybersecurity advancements, And amplify your reach through guest posts and link collaboration.

The post Unlock the Power of Artificial Intelligence With Product Management Certifications first appeared on AI-Tech Park.

Neda, please share some key milestones and experiences from your professional journey that have shaped your perspective and approach as Chief Product Officer at Stibo Systems.

I have the honor of mentoring a couple of young leaders, and they ask this question a lot. The answer I always give is that I approach each day as an opportunity to learn, so it’s difficult to pinpoint a specific milestone. However, there have been some crucible moments where I made radical decisions, and I think those moments have influenced my journey. One of them was my shift towards computer science. Despite having a background in linguistics and initially aspiring to be a teacher, I took a complete shift and decided to explore computer science. Programming was initially intimidating for me, and I had always tried to avoid math throughout my student life. I saw myself more as an art and literature person, and that gutsy shift turned out to be a great decision in the long term. The decision was made by me, but it wouldn’t have turned into a success without support from my mentors and leaders – it’s super important to have champions around you to guide you, especially early in your career. 

Another significant moment was when I accepted a consulting job that involved phasing out legacy systems. This required negotiating with users who would lose functionalities they had been using for years. These conversations were often challenging, and I was tempted to quit. However, I made the decision to stay and tackle the problem with a more compassionate approach towards the application users. It was during this time that I truly understood the nature of change management in the product development process. People find it difficult to let go of their routines and what has made them successful. The more successful users are with their apps, the less likely they are to embrace change. However, sometimes solutions become outdated and need to be replaced – plain and simple. The challenge is how to build a changing product while ensuring that users come along. This story applies to Stibo Systems. We have been around for over 100 years and have managed to transform our business. Stibo Systems is a perfect example of how to build lasting products, be open to change and transformation and make sure you aren’t leaving any customers behind.

Could you provide an overview of Stibo Systems’ mission and how it aligns with the concept of “better data, better business, better world”?

Our heritage extends far back, but we are a cutting-edge technology company. We specialize in delivering data management products that empower companies to make informed decisions, resulting in remarkable outcomes. This approach not only contributes to our sustainable growth but also supports our profitability, allowing us to reinvest and expand.

Our mission statement encapsulates our business ethos – one with a strong sense of conscientiousness. Our primary focus revolves around doing what’s right for our customers, employees and the environment. Customer satisfaction is at the forefront of our priorities, evident in our high software license renewal rates, a testament to our commitment to delivering top-notch products and services.

Moreover, we hold a unique position in the market as one of the few major companies headquartered in Europe. Europe is facing increasing pressure to embrace sustainable practices, and we are actively engaged in leading this transformation. Our commitment extends to reducing our environmental footprint while leveraging our tools to assist large-scale customers in sectors such as retail, manufacturing and consumer packaged goods (CPG) in monitoring and sharing sustainability data. Through these efforts, our aim is to contribute to the creation of a better world.

Better Data

What specific strategies does Stibo Systems employ in acquiring and managing data to ensure it meets the requirements of today and tomorrow?

Stibo Systems helps companies manage their data in a well-governed manner. What does that mean? The very high-level explanation is we help companies acquire data from different sources, manage that data, govern it and prepare it for a specific use. Sometimes, the use case is to build a single source of truth that can be leveraged by other analytics or reporting tools. Other times, we become the input layer for recommendation engines, and sometimes the data is used to build contextualized and relevant product detail pages. 

Data domains we manage include:

• Product data: Think stock keeping unit (SKUs), think digital shelf where customers interact with product data related to price, inventory, color, size – everything that makes a shopper make a purchase decision.
• Location data: Consider a restaurant that has multiple locations and needs to manage and enrich their location data. This can be super useful for fast food or grocery stores, as physical location plays an important role in customer experience. During Covid, we even saw stores using their retail space as a warehouse; all is possible if you manage your location data in a scalable manner.
• Supplier data: Retailers deal with thousands of suppliers. Stibo Systems’ solution enables enterprises to manage supplier data in a central way and even have scorecards for each supplier for a better experience for both retailers and suppliers. An example is that some suppliers are providing excellent product data and assets, and therefore you don’t need to do much working with them, but other suppliers’ data may not be prime time ready. You would need to have more processes and approval workflows – we help retailers manage all that data.
• Sustainability  Sustainability data is becoming a prominent topic for many companies invested in EST and it is a complex topic, as it entails multiple dimensions. We welcome the complexity because our multidomain data management solution provides the foundation to manage sustainability data which can touch; product data, location data, and supplier data. In addition, out of the box functionalities will empower companies to design and deliver sustainability related reporting concerning their products and services

Overall, Stibo Systems Products help companies manage their data and leverage accurate, trustworthy data to make the right business decisions resulting in spectacular results. 

Better Business

Could you share a couple of customer examples where Stibo Systems’ solutions have significantly contributed to their growth and efficiency? How did multi-domain MDM play a role in this?

Stibo Systems has a robust customer base of about 600, and each customer has had results using our solutions. We help with data operations and internal efficiencies around managing data, but more importantly, we help them scale their business and drive business value. Most of our customers are billion-dollar-plus revenue customers – you can imagine they have many employees who touch data, and there are many handovers in the process, leading to high cost of data ops. Using our products help them reduce waste in the process and also reduce data liability. 

Imagine you are a manufacturing company trying to sell a product or service on a digital shelf, whether that digital shelf sits within your own channel or other channels such as Amazon or other marketplaces. Now, imagine the data you published about your product or service is wrong. Besides the embarrassment of having incorrect data, there can be legal consequences, not to mention lost revenue because customers will buy something they were misinformed or misguided on. So, the impact of not having a data management platform can be utterly negative.

Next, picture you are a retailer tasked with increasing your supplier count by 25%, but you don’t have one single headcount to deal with these suppliers. If you are interacting with your suppliers through spreadsheets and emails instead of a solution like Stibo Systems, that will be almost impossible. The same example applies if you are heavily investing in AI, and your machine learning modules are not giving you sufficient results unless you have trustworthy data. Therefore, you will not get the ROI on your data science teams and machine learning applications – recommendations or decision engines all need accurate data. 

Regardless of your industry, Data management is a necessity if you are thinking about scale, efficiency and time to market. And now, with evolving requirements like sustainability and ESG reporting, a data management tool that provides credible data is more important than ever before.  

Better World

What is the foundation story of Stibo Systems, and how does it tie into the company’s commitment to sustainability and ESG goals?

Stibo Systems believes fueling businesses with better data empowers them to make better decisions grounded in accurate data. As an example, we are working with one of the largest connected technical device manufacturers. These folks are amazing at what they do, and they understand the impact they can have on the planet by sharing their carbon footprint with their distributors and taking a collective approach towards reducing carbon footprint in the end-to-end supply chain. We help them manage that data and then share with their distributors at scale. 

Another example is companies that want to share product ingredients with their end customers. We help them with that and also show their customers data depending on their demographics. The keto diet might be a big driver for a certain region, whereas a consumer in the same country but a different zip code may be more interested in buying a whole food ingredient with less carbon footprint.

“Our partnership with Microsoft was in part based on their commitment to having have power purchase agreements for green energy contracted for 100% of carbon-emitting electricity consumed by all Azure datacenters, buildings, and campuses by 2025.”

In summary, Stibo Systems enables companies use their data to support their strategic vision, whether that vision is to become a sustainable company or provide the best digital shelf experience, or have the best experience for your supplier.

Sustainability and MDM

Could you delve into how multi-domain master data management is leveraged to address trending issues, particularly in the realm of sustainability and managing sustainability data?

By 2025, companies operating in the EU will be required to report on their sustainability efforts and progress. This reporting, akin to financial accounting, will encompass aspects like carbon footprint. European companies, as well as multinationals operating in Europe, are actively working to comply with these regulations. However, when we look at regions like Asia or North America, companies that operate within a single region or country might not have the same level of awareness about impending sustainability reporting requirements, primarily because it isn’t yet regulatory there.

Three primary reasons are driving this change. First and foremost is the regulatory aspect. Companies, especially those in the developed world, should proactively prepare to meet these upcoming regulations. Europe is leading the way with its 2025 deadline, and it’s likely that states in the U.S., particularly California, will follow suit. Second, brand reputation is increasingly tied to environmental, social and governance (ESG) issues. Reputation can be influenced by various stakeholders, and companies don’t want to find themselves lagging behind. The impact on the reputation of industries like tobacco and oil due to changing consumer expectations is a stark example.

Last, consumer purchase behavior is evolving. Consumers are becoming more purpose-driven in their choices. While price and product attributes were historically key factors, now, consumers are considering whether a product is good for the planet. They are making choices based on trustworthy information regarding packaging, recyclability, carbon footprint and more.

In essence, we specialize in managing various types of business data, and sustainability data is no exception. Stibo Systems doesn’t generate this data; we make it readily available. As the market shifts towards sustainability-conscious consumer choices and regulatory requirements loom, companies across industries, including grocery retail, will need to consider the carbon footprint of their products and supply chains. This data will play a crucial role in decisionmaking, such as selecting locally grown items with a lower carbon footprint over imported alternatives.

In summary, we focus on consolidating, governing, cleansing, and sharing sustainability data, recognizing the increasing significance of sustainability in today’s business landscape.

Learn more about Stibo Systems’ sustainability data management.

Challenges in Sustainability Reporting

Managing and governing the collection and reporting of sustainability data can be complex and error-prone. How does Stibo Systems approach this challenge and what solutions do you offer to mitigate risks?

Quite frankly, no one has all the answers to this right now. An area we feel we can help is data exchange. At the moment, there are no predefined standards about what attributes are needed or the format that they should be restored in. There’s no metadata dictionary. You might start collecting sustainability data attributes, but you have to keep reissuing them. Certain certifications only last for a year or a fixed period of time before they’re obsolete. And it’s not just capturing a company’s immediate data – it’s their suppliers, who in turn must get data from their suppliers, and so on. 

The key takeaway – sustainability data is more than just an attribute and a value. There’s a context and a lifespan around it. Stibo Systems’ role here is to make it manageable. We help create a formalized process – data controls, guardrails that MDM provides around applying data quality rules, sufficiency scores, business rules, workflows, approval processes and more. Flexibility is a big asset, too. Sustainability data management helps keep you updated as ESG standards change and as new ones come along. You must be agile to compete and win.

Future of MDM and Sustainability

How do you envision the role of multi-domain master data management evolving in the context of sustainability over the next few years? 

More so than ever, businesses are moving beyond sustainability pledges and setting carbon footprint benchmarks and targets. The next phase is about being able to prove the milestones you’ve hit, not only to shareholders and internal stakeholders but to current and future customers. As I said before, nobody has every answer yet – but I feel confident in saying that accurate and transparent data is a big first step toward being able to meet and prove the work that’s being done to lower our carbon footprints and grow sustainably.  

Is there anything else you’d like to add or share with our audience about Stibo Systems’ vision and its impact on businesses and the world at large?

I feel it’s important to point out that Stibo Systems is a business with a conscience. Meeting our sustainability and ESG goals is a realization of our company culture and who we want to be as an organization. We’re taking the same steps as our customers to ensure we are a responsible organization and take actions which are most efficient and beneficial to the surrounding environment and diverse communities. As a symbol of our sustainable growth and development, we plant a tree for every one of our new customers and employees. We are on a journey, and we want to bring our customers along with us. 

Neda Nia

Chief Product Officer at Stibo Systems

As Chief Product Officer at Stibo Systems, Neda Nia is responsible for our Product Organization that consists of Cloud Operations, Product Management, UX, Innovation, and R&D. With over 16 years of global experience spanning technology and commerce, Neda has deep knowledge of our market and has proven to establish product strategies that put the customer first. Before joining Stibo Systems, Neda has been a Managing Director at a global software and technology provider, where she defined a go-to-market strategy in North America, developed partnerships, participated in investment activities, and took part in the company’s global strategy exercises.

Neda holds a degree in Business Administration – Information Technology from Seneca College and has completed a Digital Transformation program from MIT as well as a Business Analysis program from the University of Toronto. As an agile enthusiast, Neda has obtained Scrum Master, Scrum Product Owner, and PMI Agile Practitioner certifications. She is a student at heart and continues to learn about emerging technologies to keep up with the fast-evolving market needs.

The post AITech Interview with Neda Nia, Chief Product Officer at Stibo Systems first appeared on AI-Tech Park.

Kindly brief us about yourself and your role as the Senior Vice President (SVP) at Telit Cinterion.

My journey at Telit Cinterion began in the Latin American region, where I played a pivotal role in driving the company’s growth and expansion. I was entrusted with the responsibility of spearheading Telit’s business in the United States in 2017, focusing specifically on the software division.

One of my proudest achievements during my tenure has been leading a significant restructuring and turnaround effort. This transformative endeavor propelled the division to achieve remarkable double-digit yearly profits and growth.

At the helm of a global team dispersed across the Americas, Europe and Asia, my responsibilities encompass a comprehensive spectrum of functions, including sales, engineering, product development, research and development, operations and support. 

A critical facet of my role involves shaping the global strategy, overseeing management and driving business development for Telit’s software and platforms division.

In essence, my journey at Telit reflects an unwavering commitment to driving excellence, innovation and profitability.

As the SVP of IoT Platforms at Telit Cinterion, what is your vision for the future of IoT and how do you see Telit Cinterion’s role in shaping that future?

At Telit Cinterion, we envision a world where digital technologies serve as the cornerstone of manufacturing productivity. The Internet of Things (IoT) represents a profound paradigm shift, and we firmly believe that its transformative potential extends well beyond connectivity. Our vision centers on harnessing the power of IoT to optimize manufacturing processes, enhance operational efficiency and unlock unprecedented value for industries across the globe.

According to McKinsey, companies that embrace IoT solutions such as deviceWISE, stand to reap remarkable productivity gains of up to 40%. This statistical validation reinforces our commitment to providing solutions that not only meet industry standards but surpass them, propelling our clients toward unparalleled success.

Telit Cinterion’s role in shaping this IoT-driven future is defined by our unwavering dedication to innovation and excellence. Our software solution, recognized as best-in-class for digital transformation, encapsulates the entire spectrum of requirements encompassing Edge, Cloud and AI functionalities. This comprehensive approach ensures that our clients can seamlessly transition into the era of IoT, with the confidence that they are equipped with the tools to drive efficiency, streamline processes, and achieve strategic objectives.

In essence, Telit Cinterion stands as a trailblazer, a trusted partner, and a driving force in the evolution of IoT. Our vision is not merely a projection; it is an ongoing commitment to provide cutting-edge solutions that transcend conventional limits, empower businesses, and pave the way for a future where IoT redefines manufacturing and operational landscapes.

Telit Cinterion is known for its robust IoT platforms. Can you highlight some of the key features and capabilities that set it’s IoT platforms apart from others in the market?

Telit Cinterion distinguishes itself through a unique fusion of IoT platform features that set us apart in the market:

• Our value proposition is unlike any other, seamlessly integrating edge, SCADA, cloud and AI capabilities. This comprehensive approach empowers businesses to harness the full spectrum of IoT benefits.

• The cornerstone of our offering is an exceptional edge solution that enables real-time data collection from diverse sensors and machines. Our extensive library of drivers ensures unmatched compatibility and straightforward integration.

• We go beyond data collection by harmonizing, transforming and seamlessly integrating this data into various IT systems such as ERP, MES, Databases and Cloud platforms. This holistic integration streamlines operations and enhances efficiency.

• Our AI capabilities drive insights, learning from patterns to propose industry enhancements. The ability to analyze images transforms cameras into intelligent sensors, contributing to informed decision-making.

• Our cloud platform is an all-in-one solution for visualization, secure remote access,device management and connectivity oversight. This centralized hub simplifies management, ensuring a robust and efficient operational environment.

• At the forefront is deviceWISE VIEW, a cutting-edge SCADA system that revolutionizes machine interaction. Imagine deviceWISE VIEW as a powerpoint for machines. Its intuitive interface allows effortless creation of digital twins, connections to machine variables and dynamic KPIs and reports generation.

Telit Cinterion’s commitment to innovation and excellence is evident in our integrated approach, redefining IoT platforms. We are dedicated to helping businesses unlock IoT’s full potential, fostering innovation and driving interconnected success.

How does Telit Cinterion approach the challenge of ensuring interoperability and seamless integration between different devices, protocols, and systems within the IoT ecosystem?

At Telit Cinterion, addressing the challenge of interoperability and seamless integration within the intricate IoT ecosystem is a paramount focus. Our approach is grounded in a combination of advanced technology, robust partnerships and a deep commitment to providing comprehensive solutions. Here’s how we tackle this challenge:

• Universal Connectivity and Protocol Support: We recognize the diversity of devices and protocols within the IoT landscape. To ensure interoperability, our IoT platforms are designed to support a wide array of communication protocols, from traditional ones to emerging standards. This adaptability enables devices with disparate protocols to communicate seamlessly, fostering a unified ecosystem.

• Extensive Library of Drivers: Telit Cinterion boasts an extensive library of drivers that enable seamless communication with a vast range of devices and sensors. This collection facilitates effortless integration, making it easier for different components of the IoT ecosystem to interact cohesively.

• APIs and Middleware: We provide well-documented APIs and middleware that act as bridges between various devices and systems. These APIs simplify the process of connecting and exchanging data, facilitating interoperability without the need for exhaustive custom development.

• IoT Platform as an Integration Hub: Our IoT platforms serve as integration hubs, allowing different devices and systems to connect centrally. This centralized approach streamlines data exchange, simplifies management and ensures that various components can interact effortlessly.

• Ecosystem Partnerships: Collaboration is key to achieving interoperability. We forge strategic partnerships with other technology providers, device manufacturers and solution developers. These partnerships enable us to offer pre-integrated solutions that seamlessly connect various devices and systems, reducing complexity and time to market.

• Data Harmonization and Transformation: We focus on harmonizing and transforming data from various sources into a standardized format. This enables data from diverse devices to be interpreted and utilized coherently across the IoT ecosystem, eliminating compatibility hurdles.

• Consultative Approach: Our team of experts works closely with clients to understand their specific requirements and challenges. This consultative approach allows us to tailor solutions that fit seamlessly into their existing ecosystems, ensuring a smooth integration process.

Scalable and Modular Architecture: Our solutions are built with scalability and modularity in mind. This approach enables businesses to incrementally integrate new devices, protocols and systems as their IoT ecosystem evolves.

In essence, Telit Cinterion is dedicated to removing barriers to interoperability and seamless integration within the IoT landscape. Our multi-faceted approach combines technological prowess, collaboration and client-centric solutions to create a cohesive IoT ecosystem where devices, protocols and systems interact harmoniously.

What would be your valuable advice for budding entrepreneurs and industry professionals?

To budding entrepreneurs and industry professionals, I offer this valuable advice: place a profound emphasis on your customers. Cultivate an obsession with understanding them on a deep level. Dive into the intricacies of their challenges, and endeavor to craft solutions that precisely address these issues.

An important lesson to remember is to avoid the common pitfall of creating solutions in search of problems. This sounds funny but it is surprisingly common. Instead, start by identifying genuine problems within the market. Let these authentic needs guide your innovation, ensuring that your efforts are purpose-driven and aligned with real-world demands.

By prioritizing your customers’ needs, adopting a problem-first approach and consistently refining your offerings based on feedback, you can forge a path to success that is both impactful and sustainable.

Could you elaborate on the key strategies or actions you have implemented or plan to implement?

Regarding our key strategies and actions, we’re actively expanding our team in both research and development, as well as in customer-facing roles. This growth is instrumental in enhancing our capabilities and ensuring effective support for our clients.

A pivotal focus is on the introduction of comprehensive end-to-end solutions. These solutions are strategically designed to empower customers to swiftly achieve results using our deviceWISE platform. By streamlining the adoption process, we’re enabling clients to accelerate their journey towards IoT integration and maximize the benefits of our technology.

Furthermore, we’re deeply committed to harnessing the potential of Artificial Intelligence (AI) as a transformative force for industrial productivity. Our investment in AI technology underscores our belief in its capacity to revolutionize operations and enhance efficiency in the industrial landscape. This commitment drives us to develop and deliver unique AI-driven products that stand at the forefront of innovation.

A recent milestone includes the launch of our “connected machine offer.” This pioneering solution empowers machine builders with a comprehensive turnkey package for delivering connected machines. This offering opens doors for machines-as-a-service models, remote support capabilities and an array of additional functionalities, thereby enabling our clients to stay ahead in the competitive market.

In essence, our strategies encompass team expansion, holistic end-to-end solutions, AI integration and innovative product launches. These actions collectively reflect our dedication to fostering growth, innovation, and delivering unparalleled value to our clients in the dynamic realm of IoT.

Security is a significant concern in IoT deployments. What measures does Telit Cinterion take to address security vulnerabilities and protect customer data in its IoT platforms?

Security holds paramount importance in our approach to IoT deployments. At Telit Cinterion, we’ve devoted substantial efforts towards safeguarding our customers’ data and mitigating security vulnerabilities. To address these concerns comprehensively, we have developed a dedicated customer offering named secureWISE, solely focused on enhancing security across our IoT platforms.

Our security strategy incorporates a fusion of industry best practices and a proprietary methodology, resulting in a robust framework that ensures data protection at every level. This meticulous approach has earned us the trust of some of the most security-sensitive companies operating in various sectors.

By implementing stringent security measures, rigorous testing, and a commitment to ongoing improvements, we provide our customers with a shielded environment for their IoT deployments.

What are the core values on which the organization is built and what is the mission of the organization? 

We value a customer centric, ethical approach. With our technologies we help companies all around the world to innovate making thing better, greener and more efficiently.

Could you share some real-world examples or success stories where Telit Cinterion’s IoT platforms have been implemented to drive innovation and transformation in various industries? 

Telit Cinterion’s impact on driving innovation and transformation across industries is evident through real-world examples and success stories that underscore the effectiveness of our IoT platforms.

A notable achievement lies in the automotive sector, where eight out of the world’s top ten car manufacturers have harnessed our technology to enhance their manufacturing productivity. A remarkable testament to this is a customer’s success story, where the implementation of our products led to a staggering improvement of 3,000 minutes of uptime. This translates to a significant return on investment of 90 million dollars annually, showcasing the tangible benefits of our solutions.

In the realm of machine building, our technologies have facilitated a paradigm shift towards service-oriented models. A compelling illustration is seen in the semiconductor industry, where Telit’s technology is seamlessly integrated into every 300mm semiconductor manufacturing process worldwide. This integration enables remote connectivity, empowering Original Equipment Manufacturers (OEMs) to securely offer services, enhance machine performance, and thereby drive value for their customers.

These success stories exemplify how Telit Cinterion’s IoT platforms are catalysts for profound transformation, propelling industries towards greater efficiency, profitability and innovation. Our commitment to delivering tangible results continues to inspire change and elevate businesses across the spectrum.

Please share your source of inspiration for exploring various facets of technology.

My source of inspiration for exploring various facets of technology stems from a profound curiosity about the boundless possibilities that technology offers to reshape and elevate our world. The rapid evolution of technology has the potential to revolutionize industries, enhance human experiences, and solve complex challenges.

Witnessing the transformative impact of technological advancements in business is something that amuses me.

Moreover, I have the privilege of exchanging experiences with brilliant minds at Telit. Additionally providing technology to some of the most important companies in the world enables me to create a valuable relationship with executives in charge of these diverse business.

Ricardo Buranello

Senior Vice President at Telit Cinterion

Ricardo Buranello has over 17 years of experience in the Technology and IoT Industry. Before joining Telit Cinterion in 2008, Ricardo worked for big technology companies such as Siemens and Totvs. With Telit, Ricardo held the position of head of Business in Latin America, and in 2017, assumed the role of Global VP for Telit Factory Solutions, driving a significant growth for the business unit.

Currently, Ricardo is Senior Vice President and Head of Telit’s Platforms Business Unit and is engaged in the creation and implementation of Telit’s platforms strategy, which enables some of the biggest companies in the world to deploy IIoT with advanced Edge and Cloud software solutions.

Ricardo graduated from São Paulo Catholic University with a degree in Business Administration. He also has an MBA in Business Economics by FGV-SP and business extension program from NYU – Stern.

The post AITech Interview with Ricardo Buranello, Senior Vice President at Telit Cinterion first appeared on AI-Tech Park.

Can you provide an overview of your background and experience in the tech industry?

My perspective has been primarily shaped by my experience as a business leader and entrepreneur. Prior to founding Pipefy, I served as a consultant to micro and small businesses and led M & A for national and international companies, many of which were in the tech industry. I also founded and led product development for a local e-commerce marketplace.

This is where the idea for Pipefy originated. I saw that many businesses — including my own — were struggling to solve a common problem: finding the right tools to capture efficiency gains and scale the business by standardizing, automating, and orchestrating disparate and fragmented processes. 

What motivated you to start Pipefy, and what is the mission and vision behind the company?

Our vision has always been to help people build better processes, because we know business success depends not just on what gets done, but how it gets done. Good processes deliver good results and create great user experiences.

Prior to developing Pipefy, I worked in companies where problems with processes and standards of execution were major liabilities, impeding growth and preventing teams from achieving their goals. For example, processes that are bogged down by manual work, or which rely too much on spreadsheets and email threads.

In these scenarios, the work takes too much time and effort to complete. Managers don’t have visibility or control over their processes. Data is fragmented and fragile, so that information remains decentralized and stuck in silos. We developed the Pipefy software solution in response to these kinds of problems, which I knew were common challenges for other companies as well.

A lot of businesses I knew were grappling with the problem of operational efficiency, which inhibited their ability to stay competitive and meet their goals. Some companies were aware that there was a goldmine of efficiency gains hiding in their workflows and processes, but the software tools available to them were too rigid to deliver efficiency across the organization, or they were cost prohibitive due to the endless customizations and add-ons needed to keep them relevant.

With Pipefy, I wanted to create a tool that offered all of the features and capabilities needed to achieve operational efficiency, and also flexible enough to accommodate any type of process or workflow, without burning through the company’s IT resources. The Pipefy solution meets both of these requirements because it gives business teams an adaptable no-code tool they can use to solve many inefficiencies themselves, no matter the department or process.

Pipefy is constantly evolving to help teams do even more with even less. Recently, we introduced Pipefy AI, a new feature that combines our process management capabilities with GPT-4 and OpenAI. These enhancements give users new insights into their data and enable them to build more efficient processes, faster than ever before.

How would you describe Pipefy’s core product or service? What problems does it solve for its customers?

Pipefy gives teams a true no-code process automation platform that they can use to build, automate, and optimize any type of process or workflow. Think of the different types of processes that HR, Finance, and IT teams depend on: Pipefy can handle all of them.

That includes the unstructured, ad hoc, and longtail processes that the components of the existing tech stack can’t touch, so teams have to manage them manually, usually with an array of spreadsheets, email threads, and messaging apps. That just isn’t sustainable, nor is it a good use of a company’s most valuable resource: its employees’ time.

Pipefy solves three key problems for our customers. First, Pipefy accelerates digitalization by transforming previously unstructured and inefficient processes and making them more efficient through automation. Second, we help businesses conserve their IT resources by giving business users a secure, IT-sanctioned toolbox they can use to build and automate many processes themselves. Third, Pipefy breaks the endless cycle of endless customization and add-ons because it’s adaptable for any team, in any department. Pipefy integrates with the existing tech stack to create a unified ecosystem.

How do you envision the future growth and expansion of Pipefy? Are there any specific areas or markets you are targeting?

Pipefy continues to grow globally, and we already have customers in 70 countries around the world. Our long-term growth strategy is ambitious, and currently our focus is on the U.S. and Brazil. On a more granular level, Pipefy is highly adaptable and can be used for any type of process, so we have a lot of opportunities to expand not just in new markets, but also horizontally as businesses realize they can use one tool to manage many different types of processes.  We are really proud of the growth Pipefy has achieved, and was named to the Deloitte Technology Fast 500, a ranking of the 500 fastest-growing companies in North America.

What role does AI technology play in Pipefy’s products or services? How do you leverage AI to enhance your offerings?

AI is the new frontier for digital transformation in general, and no-code in particular.  It holds enormous potential for both process automation and operational efficiency. Where these two intersect, that’s where Pipefy really shines.

Pipefy AI enhances our existing platform by helping teams solve some of their most complex and time-consuming challenges, such as pulling critical insights from their data, or building more efficient processes. By simply telling Pipefy AI what is needed, users can access complex data analysis and create the best version of their process in mere seconds.

We also partner with technologies that are using AI in other ways. For example, our partner ABBYY uses AI to enhance their document processing capabilities. Partnerships like these allow our customers to get even more benefits from AI to drive efficiency and deliver optimization to an extent only dreamed of just a few years or even months ago.

Security and data privacy are crucial in today’s digital landscape. How does Pipefy ensure the protection of customer data?

We know that businesses and IT teams need solutions they can trust, as much as they need processes they can trust. To us, being worthy of that trust means fortifying our software against known and emerging threats. Pipefy adheres to industry standards and best practices, including SOC2, ISO, GDPR, and LGPD.

But we also want teams that use Pipefy to have the control and features they need to uphold internal governance and compliance standards. So we built additional measures into our software, features like multi-level permission management, SSO, and MFA. Pipefy uses 256-bit encryption during transit and conducts regular pen testing and audits.

Process standardization and structure also play critical roles in security and privacy. That’s because standardized, consistent processes provide better visibility and oversight, which make it easier to enforce governance and compliance standards. Pipefy helps businesses stay secure by helping them standardize and structure their processes and workflows.

Since Pipefy is a no-code platform, business users without a tech background can use it to build and automate workflows and processes, rather than resorting to unsanctioned workarounds or shadow IT.

Can you share any success stories or use cases where Pipefy has made a significant impact on a customer’s operations or outcomes?

At Pipefy, we achieve our goal when we see our customers reaping the benefits of process automation and deeper operational efficiency. For example, one of our customers (NEX Energy) was able to double their customer base by using Pipefy to customize, automate, and scale their processes. This reduced the amount of manual work and process friction, giving their teams more time to build relationships and onboard new customers.

In another instance, one of our customers (BASF) saved 2400 employee hours in one year. Another customer (Capgemini) was able to cut their approval processing time down from three weeks to less than 48 hours. That’s what the power of digitizing and automating a process looks like.

Another great example of how Pipefy can make a difference is in our speed of implementation. One of our clients — a global mining company — chose Pipefy because we were able to deploy a mission-critical workflow for them in a matter of weeks, rather than the usual 3 to 6 month timeframe.

The real story is what these companies are able to do with the efficiency gains we help them achieve. The time and effort they used to put into manual, unstructured processes is recaptured and redirected towards value-driving activities like innovation, analysis, and building better relationships with customers or employees. That’s always the point: to give businesses more time and resources for the things that truly matter.

What advice would you give to aspiring entrepreneurs who are looking to start their own tech companies?

I think it’s critically important to clearly define the vision that’s guiding you. Know the problem you’re setting out to solve. That’s the foundation for everything you’ll accomplish and it’s what will attract caliber employees and investors, when the time is right.

You’ll also be doing yourself a favor by getting as much hands-on experience as you can. Figure out what skills are going to be most valuable for you as an entrepreneur, and spend most of your effort and time on those. But complement those skills by learning other areas as well. Things like finance, product marketing, and operations. Develop your soft skills: you’ll need to know how to work with others, and how to negotiate, in order to bring your vision to life.

That will put you in a much stronger position as a leader, and give you a broader perspective that can help you make better decisions. You don’t have to be an expert in everything, but try to become competent in as many areas as you can.

How do you see the future of business process management and workflow automation evolving in the coming years?

On the immediate horizon, we know that AI will be a game changer for process management and workflow automation. AI actualizes the full potential of no-code technology, by helping everyone in the business make better decisions and work both smarter and faster than before.

AI gives business leaders deeper access to insights about their data, which helps them identify trends, uncover root causes, and more accurately assess process and team performance. Process managers and practitioners will also benefit from AI. In addition to eliminating manual work and speeding up processes, this technology democratizes process management by empowering team members with deeper insights, faster responses, and levels of scalability they haven’t had before.

Is there anything else you would like to share about Pipefy or your vision for the future?

With the availability of generative AI tools, we really are entering a new epoch in the history of technology and society. As with any big change, there will be questions that can only be answered by moving forward and getting in the weeds to understand what’s working, what isn’t, and figuring out what comes next. When it comes to AI, I’m one of the optimists. I see its potential for making work (and life) better for people. It will also make things better for businesses. AI collapses much of the distance between skills and data, enabling everyone to make better decisions every day. That’s in perfect harmony with our guiding vision, which is to focus first on people, then on processes. As Pipefy brings AI capabilities to our customers, that’s exactly what we’re doing: helping people and businesses build better processes through speed, scalability, and data-driven decision-making.

Alessio Alionco

Founder & CEO at Pipefy

Alessio Alionço is the founder and chief executive officer of Pipefy, a global leader in no code workflow automation solutions. Brazilian-born Alionco is a high-impact global leader, and has grown Pipefy from its founding in 2015 to a company with more than 400 employees and customers in 70 countries around the world, including Visa, IBM, Volvo, Santander, and Kraft Heinz.  A veteran business consultant and entrepreneur, Alionço has a Lean Six Sigma Black Belt along with a certificate from the Stanford LEAD: Personal Leadership program of the Stanford University Graduate School of Business.

The post AITech Interview with Alessio Alionco, Founder & CEO at Pipefy first appeared on AI-Tech Park.

Entrepreneurship has always been a driving force behind economic growth, job creation, and societal progress. However, the traditional entrepreneurial landscape is not without its challenges. Barriers to entry, limited access to capital, and complex regulatory frameworks have often hindered aspiring entrepreneurs from fully realizing their dreams. In order to overcome these obstacles and foster a thriving entrepreneurial ecosystem, a paradigm shift is needed.

Enter AI and blockchain, two disruptive technologies with the power to reshape the entrepreneurial landscape as we know it. AI, with its ability to analyze vast amounts of data, automate tasks, and provide valuable insights, has the potential to revolutionize business operations, enhance decision-making processes, and unlock new opportunities for aspiring entrepreneurs. On the other hand, blockchain, with its decentralized and transparent nature, can eliminate intermediaries, establish trust, streamline transactions, and create new business models.

The purpose of this article is to envision an entrepreneurial revolution fueled by the synergistic combination of AI and blockchain technologies. This vision goes beyond merely creating successful businesses; it strives to unleash a wave of innovation, inclusion, and economic empowerment, transcending geographical boundaries and democratizing opportunities for individuals from all walks of life.

Table of Contents

1. The Power of AI in Entrepreneurship

2. The Potential of Blockchain in Entrepreneurship

3. Envisioning the Future: Empowering One Billion Entrepreneurs by 2040

4. Conclusion

1. The Power of AI in Entrepreneurship

• AI’s role in automating processes and decision-making: One of the most significant contributions of AI to entrepreneurship is its ability to automate processes and decision-making. AI algorithms can analyze vast amounts of data, identify patterns, and make informed decisions with remarkable speed and accuracy. Entrepreneurs can focus their energy on higher-value activities, such as strategic planning, building relationships, and fostering innovation by automating repetitive and time-consuming tasks.

• Leveraging AI for market research and customer insights: AI-powered tools can revolutionize market research and provide invaluable customer insights. Through machine learning algorithms, entrepreneurs can gather and analyze consumer data, preferences, and behavior patterns, enabling them to tailor their products and services to meet the specific needs and desires of their target market. Entrepreneurs can make data-driven decisions that drive customer satisfaction, loyalty, and ultimately, business growth by understanding customers on a deeper level. 

• Enhancing productivity and efficiency through AI-powered tools: AI-powered tools offer entrepreneurs a multitude of opportunities to enhance productivity and efficiency. From intelligent virtual assistants that automate administrative tasks to chatbots that provide instant customer support, AI technologies can streamline operations, reduce human error, and improve overall efficiency. Entrepreneurs can optimize their workflows, allocate resources effectively, and focus on activities that truly add value to their business by leveraging AI.

• AI’s impact on product development and innovation: AI has emerged as a game-changer in product development and innovation. Through techniques like machine learning and natural language processing, AI can analyze market trends, customer feedback, and competitive landscapes to generate insights that fuel innovation. Entrepreneurs can leverage AI algorithms to generate new product ideas, enhance existing offerings, and identify emerging market opportunities. Additionally, AI can facilitate rapid prototyping, testing, and iteration, enabling entrepreneurs to bring innovative products to market faster and with greater precision.

2. The Potential of Blockchain in Entrepreneurship

• Blockchain’s role in decentralization and trust: One of the core strengths of blockchain technology is its ability to decentralize trust. By eliminating the need for intermediaries or central authorities, blockchain enables peer-to-peer interactions while maintaining the integrity and security of transactions. Entrepreneurs can leverage blockchain to build decentralized applications, establish trust networks, and create systems that operate independently of traditional centralized institutions.

• Enabling peer-to-peer transactions and reducing intermediaries: Blockchain facilitates direct peer-to-peer transactions, removing the dependence on intermediaries such as banks or payment processors. Smart contracts, self-executing agreements stored on the blockchain, enable secure and automated transactions without the need for middlemen. This opens up new possibilities for entrepreneurs to create innovative business models, disrupt traditional industries, and foster direct interactions between buyers and sellers.

• Enhancing supply chain transparency and traceability: Blockchain technology offers unprecedented transparency and traceability in supply chains. By recording every transaction and movement of goods on the blockchain, entrepreneurs can ensure that their products are sourced ethically, adhere to quality standards, and comply with regulatory requirements. This transparency builds trust among consumers, enhances brand reputation, and enables entrepreneurs to demonstrate the authenticity and sustainability of their products.

• The emergence of blockchain-based funding and crowdfunding: Blockchain has revolutionized the field of fundraising through the emergence of Initial Coin Offerings (ICOs) and blockchain-based crowdfunding platforms. Entrepreneurs can issue digital tokens or coins on the blockchain, allowing individuals from around the world to participate in funding their ventures. This democratizes access to capital, bypasses traditional financial gatekeepers, and enables entrepreneurs to connect directly with potential investors, fostering a new era of entrepreneurial financing.

3. Envisioning the Future: Empowering One Billion Entrepreneurs by 2040

• Expanding access to AI and blockchain technologies globally: In order to empower one billion entrepreneurs by 2040, it is crucial to expand access to AI and blockchain technologies on a global scale. According to the International Telecommunication Union (ITU), as of 2021, approximately 53% of the global population had internet access. Expanding internet access and infrastructure in underserved regions can provide the foundation for entrepreneurs to leverage AI and blockchain technologies.

• Fostering entrepreneurship ecosystems and support networks: Creating vibrant entrepreneurship ecosystems and support networks is vital for nurturing entrepreneurial talent and fostering innovation. According to the Global Entrepreneurship Monitor (GEM) 2020/2021 report, entrepreneurial activity rates varied significantly across countries, ranging from 3.7% to 35.8%. Governments, educational institutions, and private organizations should collaborate to develop supportive policies, provide mentorship programs, and offer funding opportunities to entrepreneurs.

• Bridging the digital divide and promoting digital literacy: To ensure that aspiring entrepreneurs can fully participate in the digital economy, it is essential to bridge the digital divide and promote digital literacy. According to the World Bank, as of 2021, around 47% of the global population remained unconnected to the Internet. Initiatives focused on providing affordable internet access, digital skills training, and educational programs can empower individuals to leverage AI and blockchain technologies for entrepreneurship.

• Empowering underrepresented communities through technology: Empowering underrepresented communities is crucial for achieving inclusive entrepreneurship. According to a report by the Global Entrepreneurship Monitor (GEM) Women’s Entrepreneurship 2020/2021, the gender gap in entrepreneurial activity rates remains significant, with women entrepreneurs comprising only 33% of the total entrepreneur population. Efforts should be made to address barriers faced by women, minorities, and marginalized communities, providing them with access to AI and blockchain technologies, mentorship, and funding opportunities.

• Measuring success: Key indicators and milestones: Measuring the progress towards empowering one billion entrepreneurs requires key indicators and milestones. For instance, tracking the number of entrepreneurs with access to AI and blockchain technologies, the growth of entrepreneurship ecosystems in various regions, the reduction of the gender gap in entrepreneurship, and the increase in digital literacy rates can provide valuable insights. Regular monitoring and evaluation, along with global collaboration, can ensure that progress is on track to achieve the ambitious goal of empowering one billion entrepreneurs by 2040.

4. Conclusion

Empowered entrepreneurs have the potential to drive global innovation, solve pressing challenges, and create meaningful change. They can harness the power of AI and blockchain technologies to develop groundbreaking solutions, disrupt industries, and unlock new opportunities. As entrepreneurs thrive, they create jobs, uplift communities, and contribute to economic development on a global scale.

Moreover, empowering entrepreneurs from diverse backgrounds ensures a more inclusive and equitable entrepreneurial ecosystem. When entrepreneurs from underrepresented communities are given the tools and support they need, they bring unique perspectives and ideas, leading to more comprehensive and impactful innovations. This diversity drives creativity, fosters collaboration, and accelerates progress. Together, we can build a future where empowered entrepreneurs unleash their potential, shape industries, and contribute to a more prosperous and inclusive world.

Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals!

The post Empowering One Billion Entrepreneurs by 2040: The AI and Blockchain Revolution first appeared on AI-Tech Park.