The Katara platform, which leverages a mix of traditional ML/NLP alongside cutting-edge foundational models and Generative AI, significantly streamlines community and developer onboarding, while surfacing actionable analytics. Teams can offload repetitive and fragmented workflows to AI-agents across disparate platforms saving them time. This has already resulted in substantial efficiency gains for several early launch partners, notably saving over 8,700 hours annually for AVAIL Protocol, Hivemapper, and Filecoin.

“Katara AI, tuned for developer content and tasks, helped us to get clarity on where gaps are in our developer experience so we can better focus our funding on addressing and enhancing [it.] Katara provides a solution to quantify DevRel problems that were otherwise impossible to compare. I will take it wherever I go.” – Fmr Filecoin Developer Advocate – Jenks Guo, now Head of Developer Relations of Babylon Labs

Matthew Rossi, Cofounder and CEO of Katara, commented on the funding, “With this significant investment we’re poised to build the stack that has been missing for DevX teams across Web2 and Web3. Our human-in-the-loop approach brings maximum efficiency and safety to agentic workflow automation.”

David Feldman, Cofounder and CTO of Katara, also commented on the funding, “This investment will enable us to scale our solution globally, leverage the latest AI techniques, enable incredible content collaboration, and ensure that our customers receive the most meaningful and actionable insights.”

The need for better AI-powered workflows for DevX teams, like Developer Relations, is clear and growing. Teams are under-resourced and burn a ton of time and resources on repetitive Q&A, custom educational content creation, multi-format content delivery, among other manual processes. An inability to deliver accurate and timely content experiences negatively impacts traction with developers and impedes the overall growth of a project’s value. Nearly half of developer relations professionals surveyed by the State of DevRel report in 2023 reported experiencing burnout in the past year, with content creation cited as the top challenge.

Ken Nguyen, Partner at Diagram, added, “Katara’s holistic approach to automating developer workflows with GenAI is groundbreaking. Matthew is the perfect founder to build Katara given his depth of experience at Polygon, Chainalysis, and other web3 and AI companies.”

Thibaut Chessé, Partner at Sparkle Ventures, added, “Katara sits squarely within our thesis for how GenAI tools can solve problems with how web3 communities grow and blockchain networks accrue value. We are thrilled to support their journey as they expand their innovative platform to new markets.”

With the seed funding, Katara will expand its reach beyond web3 to include major web2, AI, and open-source platforms. The tools developed by Katara will turbocharge the efficiency of developer experience teams in all of their workflows.

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Syncro, a leading B2B SaaS company serving the managed service provider (MSP) and IT markets, today announced the commercial availability of its AI-powered Smart Ticket Management solution. Integrated seamlessly into its existing platform, this advanced system is purpose-built to enhance MSPs’ and IT professionals’ efficiency in resolving tickets, significantly reducing the time and effort required.

Built on the feedback from early adopters who experienced marked improvements in operational efficiency, Syncro’s new offering is now available to all partners on the Team Plan within its IT management platform.

Syncro’s AI-powered Smart Ticket Management not only classifies and suggests resolutions for incoming tickets but also introduces an intuitive Smart Search capability, enhancing the way technicians manage and resolve tickets. This feature allows technicians to find solutions more quickly with context-aware searches and a natural language interface.

The Smart Ticket Management feature set is designed from the ground up to integrate seamlessly into the daily workflows of technicians. By automating the initial steps of ticket management — such as classification and suggesting initial resolution steps — Syncro streamlines the process for technicians. It also offers a robust search tool that uses natural language processing (NLP), which ensures that every technician, regardless of experience level, has the tools to excel at their fingertips.

“Our Smart Ticket Management solution is transformational for the MSP and IT markets,” said Michael George, CEO, Syncro. “By leveraging AI to automate and simplify the ticket resolution process, we’re enabling our partners to achieve greater efficiency and productivity. This launch represents our ongoing commitment to providing innovative solutions that meet the evolving needs of our customers.”

Key Features and Benefits

Smart Ticket Search

A powerful ticket search engine leverages NLP to find the most relevant tickets based on a query. This tool understands and finds tickets that match the intention and core issue, even if the keywords don’t match. Smart Ticket Search also works in context, automatically finding tickets closely related to the ticket currently being viewed, ensuring that relevant information is always available.

Guided Ticket Resolution

• Automatic Ticket Classification – When a ticket is created (either by a user or by an alert), the solution automatically classifies the ticket based on its contents. For example, tickets may be labeled for issues related to printers, network, storage, memory, CPU, and other categories (up to 47 different categories at release).
• Guided Resolution Steps – Syncro’s Smart Ticket Management system creates guided resolution steps with a convenient checklist embedded in the ticket. Many tickets include links to scripts and automations, enabling technicians to resolve issues with a simple click.

Positive feedback from early users underscores the impact of Syncro’s solution.

“Smart Ticket Management bridges the skills gap between Level 0 and Level 1 technicians, providing my team with clear, actionable solutions from the first touch,” said Jasper Grewal, president of ROI Technology. “The Smart Search feature shows incredible potential in reducing time spent on cross-ticket investigation, while the guided ticket resolution empowers our junior techs to find the correct solution more quickly.”

“Syncro remains dedicated to continuous innovation, and this release is evidence of our journey towards fully leveraging automation and AI to enhance IT solutions,” said Dee Zepf, chief product officer, Syncro. “Our unique approach of embedding AI deeply into the platform is setting a new standard in the industry.”

The new Smart Ticket Management capability is available now as part of Syncro’s all-in-one platform.

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AtScale, a pioneering leader in data management and analytics, announces a significant breakthrough in Natural Language Processing (NLP). By integrating AtScale’s Semantic Layer and Query Engine with large language models (LLMs), AtScale has set a new standard in Text-to-SQL accuracy, achieving an impressive 92.5% across all combinations of question and schema complexities.

As enterprises generate and store increasing volumes of data, the demand for quick, accurate data analysis has never been higher, outpacing traditional methods reliant on human analysts. AtScale’s integration of Generative AI transforms natural language queries into precise SQL commands, dramatically improving efficiency and decision-making speed. While LLMs excel at generating human-like text, they often struggle with complex database schemas and business logic. AtScale’s Semantic Layer bridges this gap by providing LLMs with comprehensive business-side metadata, eliminating the need to create metrics from scratch or generate complex joins, and significantly enhancing result consistency and accuracy.

“Our integration of AtScale’s Semantic Layer and Query Engine with LLMs marks a significant milestone in NLP and data analytics,” said David Mariani, CTO and Co-Founder of AtScale. “By feeding the LLM with relevant business context, we can achieve a level of accuracy previously unattainable, making Text-to-SQL solutions trusted in everyday business use.”

In rigorous testing, AtScale’s integrated solution outperformed traditional methods by a wide margin. Across a diverse set of 40 business-related questions, the solution achieved a 92.5% accuracy rate, compared to just 20% for systems without the Semantic Layer. These results underscore the system’s capability to handle a wide range of query complexities with superior precision.

Key Benefits of AtScale’s Solution:

1. Enhanced Accuracy: Achieves 92.5% accuracy in translating natural language questions into SQL queries.
2. Simplified Query Generation: Removes the need for LLMs to generate joins or complex business logic, reducing errors and improving efficiency.
3. Business Context Integration: Provides LLMs with essential business metadata, ensuring consistent and accurate results.

AtScale is committed to continuously advancing its AI-driven solutions. The company plans to enhance the integration further by optimizing prompt engineering and expanding training datasets, aiming to tackle even more complex queries with greater precision and efficiency. By doing so, AtScale seeks to empower businesses with increasingly robust and reliable data analysis tools.

You can download the full report here, which includes detailed statistics, charts, and a deeper dive into the analysis.

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OpsVeda, the leading provider of Operations Command Center (OCC) today announced that Juni, the Generative AI powered copilot for operations team-members, is now available on the Microsoft Teams Store. Juni leverages natural language processing and domain expertise to interpret users’ business questions, queries the right information from the OpsVeda real-time intelligence platform and presents responses in line with users’ potential need. Juni(or) serves as a ‘virtual operations analyst‘ to augment the front-line user to make timely decisions without the necessity of waiting for a central pool of experts and their daily spreadsheet routine. Timely decisions by the front-line, powered by predictive intelligence will help enterprises minimize revenue miss and margin leakage.

By continuously optimizing demand-supply-inventory-logistics alignment, the OpsVeda Operations Command Center helps execution focused teams to exploit opportunities and manage risks towards daily, weekly, monthly and quarterly targets. Operational execution is time-sensitive and reliant on specific details. For operations teams, having real-time information and analysis at their fingertips often makes the difference between a successful or a missed month/quarter.

With Juni on Teams, OpsVeda makes detailed operational prescriptions and information more accessible to users at large, without necessarily being dependent on the central analyst pool. The user does not have to navigate to dashboards. Be it orders that are due to ship today or high priority containers arriving today, or perhaps transactions at risk of cancellation this week, the user just needs to ask Juni (through Microsoft Teams) in everyday business language – just as she would ask an informed colleague. And if there is something time-sensitive like a soon to be out-of-stock situation, Juni will proactively push an alert message to her through Teams.

Juni responses incorporate data visualization and snippets of specific transactions (in the form of information cards) to enable users to validate the answers. Direct navigation from the Juni message to the relevant filtered OpsVeda storyboard, or perhaps downloading the specific set of impacted materials or transactions are also enabled, allowing the user to quickly evaluate the responses, and take corrective actions. The user may also schedule the response to be delivered on a regular cadence.

“The depth and breadth of business content has always been OpsVeda’s strength. Real-world operations need to factor in a large number of variables and our algorithms have been automating predictive analysis for the user,” said Sanjiv Gupta, CEO of OpsVeda. He added, “With Juni’s availability on a platform as popular as Microsoft Teams, we are now simplifying operational execution for an even larger pool of enterprise users. OpsVeda is purpose built for helping operations and supply chain teams maximize their revenue and margins. Short to medium term operational execution demands agility and timing is of the essence. Juni on Teams enables faster and democratized access to critical information and opportunities unearthed by the Operations Command Center.”

“Large Language Models and Generative AI has dramatically improved the ability to interpret user requests and create code and other content on the fly. We have married this new technology to our rich repository of business functions developed over the years,” said Ravi Mandayam, VP – Product Engineering at OpsVeda. “Juni is being used by some of our customers and the effect has been magical. The ease of information access has enabled them to respond to changing operational situations much faster. The number and variety of queries that Juni has been answering has grown much faster than most of us imagined. In operations velocity and accuracy of information is everything!”

OpsVeda confirmed that apart from MS Teams, Juni is available on Slack also. Enablement of the Generative AI Assistant on other collaboration platforms is in progress.

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Accenture (NYSE:ACN) today announced the launch of the Accenture AI Refinery framework, built on NVIDIA AI Foundry, to enable clients to build custom LLM models with the Llama 3.1 collection of openly available models, also introduced today.

While enterprises are exploring the power of gen AI, they have to distill and refine the underlying LLM models with their own data and unique processes. The Accenture AI Refinery framework, which sits within its foundation model services, marks a significant step forward in the use of generative AI for enterprises. It will enable clients to build custom LLMs with domain-specific knowledge and deploy powerful AI systems that reflect their unique business needs and help drive reinvention of their business, and their industry.

Julie Sweet, chair and CEO of Accenture, said, “The world’s leading enterprises are looking to reinvent with tech, data and AI. They see how generative AI is transforming every industry and are eager to deploy applications powered by custom models. Accenture has been working with NVIDIA technology to reinvent enterprise functions and now can help clients quickly create and deploy their own custom Llama models to power transformative AI applications for their own business priorities.”

Jensen Huang, founder and CEO of NVIDIA, said, “The introduction of Meta’s openly available Llama models marks a pivotal moment for enterprise generative AI adoption, and many are seeking expert guidance and resources to create their own custom Llama LLMs. Powered by NVIDIA AI Foundry, Accenture’s AI Refinery will help fuel business growth with end-to-end generative AI services for developing and deploying custom models.”

Accenture is also using this AI Refinery framework to reinvent its enterprise functions, initially with marketing and communications and then extending to other functions. The solution is enabling Accenture to quickly create gen AI applications that are trained for its unique business needs.

Accenture’s new AI Refinery framework has four key elements to help enterprises adapt and customize prebuilt foundation models and deploy them to reflect their unique business needs:

• Domain model customization and training: distill and refine prebuilt foundation models with customers’ own data and unique processes to drive reinvention and value powered by NVIDIA AI Foundry.
• Switchboard platform: allows a user to select a combination of models to address the business context or based on factors, such as cost or accuracy.
• Enterprise cognitive brain: scans and vectorizes all corporate data and knowledge into an enterprise-wide index to empower gen-AI machines.
• Agentic architecture: enables AI systems to act autonomously—to reason, plan and propose tasks that can be executed responsibly with minimal human oversight.

These services will be available to all customers using Llama in Accenture AI Refinery, which is built on the NVIDIA AI Foundry service comprised of foundation models, NVIDIA NeMo and other enterprise software, accelerated computing, expert support and a broad partner ecosystem. Models created with AI Refinery can be deployed across all hyper scaler clouds with a variety of commercial options.

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Thoughtful AI, an AI-powered revenue cycle automation company, today unleashed a flurry of news highlighting its forward momentum, including the launch of the world’s first fully human-capable AI Agents specializing in healthcare revenue cycle management (RCM), exceptional growth metrics, and $20 million in new funding through a Series A round led by Nick Solaro of Drive Capital with participation from TriplePoint Capital.

“This investment will enable us to reinvest in cutting-edge research and development, make breakthrough progress in our flagship RCM AI products, hire top-tier tech talent, and expand our go-to-market strategy and operations,” said Alex Zekoff, Thoughtful AI co-founder and CEO. “Our goal is to continue innovating in the healthcare automation space, making AI integration seamless and impactful for our customers. We are grateful for the support of our investors and excited about the advancements this funding will bring to our platform and services.”

The new AI Agents launched today are among the latest innovations from Thoughtful AI. The first suite of these role-based, fully human-capable AI Agents – aptly named CAM, EVA, and PHIL – perform claims processing, patient eligibility verification, and payment posting.

Traditionally, healthcare providers were forced to do this tedious but critical work using costly, manually-intensive and error-prone processes. That left healthcare providers struggling with claim denials, cost to collect, and days sales outstanding (DSO) issues, as well as mounting costs and complications related to staffing, training, and employee retention. But now AI Agents from Thoughtful AI solve these challenges, enabling healthcare providers to stop hiring for these roles, benefit from significantly higher productivity, and focus more energy and resources on delivering optimal patient outcomes rather than trying to figure out how to get paid.

“Back office staffing and reimbursement are core reasons why the U.S. healthcare system is so expensive and inefficient,” explained Zekoff. “In many industries, collections cost less than a penny on the dollar, but collections can cost 10 times that in healthcare. Imagine a healthcare provider making $100 million a year yet having to spend $10 million to collect that revenue. Those dollars should go to the patient experience, not inefficient collections processes.”

The AI Agents from Thoughtful AI perform comprehensive and extensive workflows, materially reducing the amount of human intervention needed to run healthcare provider RCM departments. In the process they reduce denial rates, allow for unlimited throughput and deliver economic efficiency. That’s a far cry from what first-generation RPA bots can do.

Why? Because Thoughtful AI empowers its AI Agents with multiple technologies – including large language models (LLMs), natural language processing (NLP), optical character recognition (OCR) and robotic process automation (RPA) – to solve problems like a human would. But AI Agents are even better because they are always available, error-free, fast and infinitely scalable.

AI Agents from Thoughtful AI are winning over CFOs at healthcare providers with their:

• Expertise: AI Agents are experts specializing in RCM processes, including (EVA) patient eligibility verification, (CAM) claims processing, and (PHIL) payment posting.
• Efficiency: Trained in the same amount of time it takes to train one employee, AI Agents can do the work of an entire team and integrate seamlessly into existing systems.
• Scalability: Designed to handle large volumes of tasks and data, AI Agents can process hundreds of times more verifications, claims, and payment postings than humans and with perfect precision. And it’s easy to scale them across core back-office processes.
• Proven Reliability: With extensive experience and deployments across many sizable healthcare providers, backed by Thoughtful AI’s powerful monitoring platform, the company’s AI Agents have demonstrated reliability and efficiency, making them excellent counterparts or replacements for human teams. Thoughtful AI provides enterprise-grade uptime and support SLAs, ensuring the continuity that healthcare providers require.
• Continuous Learning and Enhancements: AI Agents can be trained and enhanced continually, ensuring they remain at peak performance and easily adapt to evolving needs. That enables healthcare providers to benefit from enhancements as models continue to improve. Thoughtful AI also continues to invest in AI Agent reporting and analytics, giving providers more visibility into revenue performance than ever before.

CFO Kathrynne Johns explains how her employer, Allegiance Mobile Health, was able to materially reduce its costs and increase its revenue integrity by using AI Agents from Thoughtful AI: “With Thoughtful AI’s support, we doubled the capacity of our claim scrubbing team by an impressive 100%, seamlessly managing thousands of claims daily with minimal human intervention.”

AI Agents are also making Cara Perry, Vice President of RCM at Signature Dental Partners, smile. She reveals: “Thoughtful AI’s creation of a digital employee revolutionized our claim processing, offering 10x efficiency and limitless scalability compared to traditional methods.”

Thoughtful AI healthcare customers see an average of 5-9x ROI, which has led to greater than 300% net revenue retention for that customer cohort. Existing Thoughtful AI customers are quickly expanding their adoption from one to 30 AI Agents. Thoughtful AI Agents have massively expanded the records processed for healthcare providers by more than 2,400%.

“Our AI Agents save healthcare providers millions of dollars through such KPIs as opex improvement, cost to collect, payment efficiency, and DSO reduction,” said Zekoff. “Watching people’s eyes light up during demos, hearing words of praise from customers’ CFOs, C-suite, and boards, and seeing customers get promoted because of our work together is truly exciting.”

Thoughtful AI’s incredible value to customers has fueled its extraordinary momentum. Since it began generating revenue, Thoughtful AI has exceeded 220% year-over-year growth and has already achieved revenue milestones typically associated with Series B companies.

“Thoughtful AI is re-inventing healthcare automation with AI,” said Solaro, partner at Drive Capital, which also led the company’s seed round and February 2022 seed extension. “We are thrilled to support the company’s mission and growth as it dramatically improves its customers’ ability to deliver excellent patient care while growing their practices’ efficiency and profitability. Thoughtful AI is defining the market in this new era of deep technology automation, and I am excited to see the incredibly positive impact that it is having on customers and their patients.”

Seth Feder, founder of OnTarget Advisors and veteran Gartner healthcare analyst, also noted: “Thoughtful AI emerges as a game-changing solution for healthcare providers grappling with the complexity of the U.S. healthcare system and the need to reduce waste in administrative tasks. By deploying AI Agents capable of handling 80-100% of manual tasks across various healthcare admin roles, Thoughtful AI addresses the critical staffing challenges facing the healthcare industry, which are only exacerbated by the 20% rise in labor costs since the COVID-19 pandemic. Further, Thoughtful AI accelerates the revenue cycle by reducing claims processing time from 35 to 25 days and boosts speed of collection by 40% which eases the financial strain felt by most healthcare providers today. When I was a healthcare analyst at Gartner, we nominated ‘cool vendors’ each year who turn disruptive digital technologies into innovative products. Thoughtful AI is a cool vendor in my book because they deliver cutting edge AI technology capable of expanding as a platform to additional roles in the future, all while delivering fast time to value for their customers. Anyone who can do that is very cool.”

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Marigold Health, the tech-enabled peer recovery innovator, today announced the close of an $11 million Series A fundraise. The round was led by Rock Health and Innospark Ventures with additional investment from the Commonwealth Care Alliance (CCA), Wavemaker360, Stand Together Ventures Lab, Epsilon Health Investors, Koa Labs, VNS Health Plan and KdT Ventures. Marigold is addressing a national shortage of SUD care by expanding access to high-quality peer support. Their proprietary peer support program combines one-on-one coaching from a certified peer specialist with 24/7 access to text-based support groups in the Marigold app, which is integrated with natural language processing that flags health needs expressed in chats and triggers additional support when needed.

The new funding comes after Marigold achieved significant milestones with seed funding in communities hit hardest by the Opioid Crisis. From 2020-22, Marigold conducted a pilot with a major managed Medicaid organization in Delaware and quickly grew to become the state’s largest provider of peer recovery supports. An outcomes analysis of 1000 Marigold app signups found that 98% reported improvement in at least 1 dimension of Recovery Capital, a clinically validated metric that measures an individual’s ability to maintain long-term recovery.

The Series A will allow Marigold to meet a national demand for more engaging SUD supports – their program is currently available to 25,000 members in Delaware, Rhode Island, and Massachusetts and Marigold is expecting to expand to at least 4 additional states by the end of next year.

“Historically, most investment in SUD care has focused on the small minority of people already receiving and open to treatment” said Shrenik Jain, Founder and CEO of Marigold Health. “Generally, this treatment isn’t very effective – peer support is the unspoken reality on how most people finally get better. We’re creating a safe place for our members to empower each other and get the best out of a broken system.”

The company is currently prioritizing partnerships with Medicaid and duals health plans covering medically complex or vulnerable populations, some of who have joined this round. Marigold expects to continue its strategy of implementing a value-based reimbursement model for peer support, ensuring that improved member outcomes lead to less total healthcare expenses.

Aman Shah, VP of New Ventures at VNS Health, one of the nation’s largest nonprofit home healthcare organizations, and integrated Medicaid-Medicare health plan explains, “We made the decision to invest after seeing how Marigold engaged and reduced costs for members with SUD at other health plans. Marigold’s unique approach combines traditional peer support services with technology that is highly complementary to existing programs that engage individuals with substance use disorders.”

Arvin Grover, General Partner at Digital Health Venture Partners, added “Marigold can wrap around any existing treatment program to consistently engage members and demonstrate real world results.”

Investors were also compelled by Marigold’s technology platform – the company leverages proprietary natural language processing (NLP) to upskill peer specialists, ensure online interactions are constructive, and inform the efforts of other treatment providers.

“Marigold’s team has a unique vision that involves investing heavily in their served communities and scaling the impact of their efforts through AI.” said Andy Palmer of Koa Labs.

Mark Legare of Innospark Ventures, a VC fund focused on AI, highlighted that Marigold’s platform is valuable to many stakeholders. “Marigold has built innovative technology grounded in direct feedback from health plans, providers, and peers to drive scalable impact.“

“Marigold has achieved impressive milestones due to a combination of community partnerships, innovative technology, and a commitment to real-world outcomes.” said Bill Evans, Founder and General Partner at Rock Health. “We are excited to support their next phase of growth.“

In addition to expanding their covered population, Marigold expects to grow its peer workforce and continue to develop their NLP. The Company’s longer-term vision is to build a nationally distributed peer delivery model that can support a range of chronic conditions beyond SUD.

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CAI, a global technology services firm, announced it earned Globee® Awards for American Business in two categories: Gold in Achievement in Technology Adoption and Sliver in Digital Collaboration Achievement.

Achievement in Technology Adoption: Recognizes companies for successfully adopting and integrating new technologies. CAI launched a natural language processing, AI-powered assistant to help boost employees’ productivity by reducing manual work to focus more on strategy.

Digital Collaboration Achievement: Recognizes achievements in enhancing internal and external communication and collaboration through innovative digital platforms and tools. By utilizing various communication tactics including open forums, an intranet, an internal podcast, and earned media, CAI delivers on the first principle in its 1-3-5 core value philosophy, collaborate.

CAI was selected from a pool of entries, highlighting the dedication and commitment to delivering value to clients and stakeholders. For the 2024 Globee® Awards for American Business, more than 1,100 applications were received, and more than 1,040 judges applied. Their evaluations, based on average scores and detailed inputs, determined the winners. These judges come from a diverse range of organizations around the world, bringing with them a variety of expertise and insight.

“Earning a Globee award for the second consecutive year is a testament to our relentless commitment to innovation and teamwork,” said Tammy Harper, chief human resources officer at CAI. “We are not only building and adopting cutting-edge technologies, but our people reap its benefits by connecting with each other in an ever-evolving business landscape. I am proud of our team, and I am confident that these achievements will propel us to even greater heights in serving our clients, colleagues and communities.”

“Recognizing these exemplary companies and leaders is crucial to promoting a culture of excellence and innovation within the business community,” said San Madan, President of the Globee® Awards. “Each winner has demonstrated exceptional commitment to their craft, setting a benchmark for others to follow.”

To learn more about CAI and browse open jobs, visit https://careers.cai.io/

For a full list of Globee® Award winners, visit: https://globeeawards.com/american-business/winners/

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Oracle today announced new AI innovations in the latest release of the Oracle APEX low-code development platform. The new APEX AI Assistant simplifies application development and helps developers quickly build feature-rich, mission-critical applications at scale. Developers now can create applications by using natural language prompts to specify desired capabilities and components and automatically generate SQL statements, perform one-click debug correction, eliminate the need to remember table names, and easily add an out-of-the-box conversational interface to their applications. Oracle APEX is a fully supported, no-cost feature of Oracle Database and all Oracle Database services including Oracle Autonomous Database that developers can try for free here.

By replacing complex traditional coding, Oracle APEX’s declarative development approach enables developers to build and deploy mission-critical enterprise applications 20X faster with 100X less code. With over 21 million applications built, Oracle APEX is the platform of choice for over 850,000 developers in organizations across industries worldwide.

“As a developer and someone who writes SQL every day, I know how challenging it can be to remember table names, column names, and syntax I don’t frequently use. Having an AI assistant to determine column names contextually, JOINS, and generate complex syntax is a real game changer,” said Mike Hichwa, senior vice president, software development, Oracle. “Best of all, I can use plain natural language, such as ‘show me all pink T-shirts in size large left over from the most recent shipments to our Kansas City and Wichita locations’ and the APEX AI Assistant will automate that for me, and show me the precise results.”

Trailcon offers trailer fleet solutions 24/7, managing 30,000+ assets across North America. It built its Trailcon 360 application using Oracle APEX with OCI Document Understanding. The application provides customers with real-time analytics on geo-location, telematics, preventative maintenance, and other key indicators, as well as the ability to download and integrate invoices seamlessly to replace manual processes.

“We can process over 3,000 invoices every month with an 87% accuracy rate. Oracle APEX and OCI enables the IT Solutions team at Trailcon to continue to be agile and keep providing the data services our customers can rely on,” said Giovanni Cani, vice president, IT delivery, Trailcon. “This is far simpler than other low-code solutions, and we’re excited to find out what the upcoming versions of Oracle APEX will bring, specifically around AI capabilities and process optimization.”

“Natcorp provides HR management solutions to more than 600,000 users in Brazil. The combination of APEX and AI is a huge time-saver for our customers—they can simply ask questions in the APEX app and get answers in seconds,” said Igor Sala Cardoso, head of technology and innovation, Natcorp. “This allows HR teams to focus on their core competencies, like their recruitment strategy, while reducing operational costs with AI.”

Oracle APEX is included in Oracle Database and all Oracle Database services including Oracle Autonomous Database, delivering extreme application performance, as well as industry-hardened security, availability, and scalability. For example, when used in conjunction with AI Vector Search in Oracle Database 23ai, Oracle APEX offers a way for developers to combine semantic search for documents, images, and other unstructured data with searches on private business data.

“There’s low code and there’s low code done right,” said Ron Westfall, research director, The Futurum Group. “With the latest introduction of APEX 24.1, Oracle has deftly demonstrated how GenAI can enable developers to create hardened, mission-critical applications with ease. Coming off a series of consecutive innovations and strategic announcements—such as Oracle Database 23ai and Oracle Database@Google Cloud—APEX 24.1 continues to demonstrate Oracle’s open and collaborative approach to clouds and application development.”

New AI enhancements in Oracle APEX include:

• APEX AI Assistant: Enables the creation of valid SQL statements from a natural language user prompt. APEX AI Assistant remembers SQL syntax, so developers don’t have to and automates the writing of SQL queries. It explains existing code and suggests code bug fixes that can be adopted with a simple click, freeing developers from routine coding tasks.
• Create App Assistant: Enables the creation of new application blueprints from a natural language user prompt that specifies desired attributes and capabilities. This simplifies the development of new applications and allows developers to focus their energy and resources on creating unique, bespoke application features rather than underlying code.
• Conversational AI dialogs: Enables end-users to “converse” with their applications in natural language through an out-of-the-box conversational interface that developers can easily add to their applications. As a result, developers can provide a richer in-app experience without the need to build generative AI or natural language processing components from scratch.

The new version of Oracle APEX is available to use today and will be demonstrated at the APEX Conference at ODTUG Kscope24 from July 14 – 18 in Nashville, TN.

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The future of artificial intelligence (AI) is unfolding before our eyes. Actions made today will undoubtedly pave the way for the AI road ahead, with calls for more AI regulation, energy and grid security, and AI employee protections. All the while, investment in AI is surging, with Generative AI Venture Capital Investment on track to reach $12 billion in 2024, according to analysts at EY. Meanwhile McKinsey is predicting that generative AI alone could generate $2.6 trillion to $4.4 trillion in value across industries. This is why the market is keen on monitoring the advancements of AI developers, including Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Alphabet Inc. (NASDAQ: GOOG, GOOGL), Microsoft Corporation (NASDAQ: MSFT), and Amazon.com, Inc. (NASDAQ: AMZN).

With rapid advancements in deep machine learning, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and shifted its market focus. The company is now directing its state-of-the-art GEM (General Enterprise Machine Learning) technology towards crucial sectors such as advertising, gaming, and neural networks.

Their ongoing development of GEM is working toward enabling businesses to create custom object detection and visual information systems, harnessing the full potential of neural networks. Scope AI’s strategic efforts aim to transform the fields of advertising personalization, gaming enhancements, and the various applications of neural networks.

Recently, Scope AI has unveiled significant enhancements to GEM, aimed at improving services for advertising agencies and the gaming sector. These upgrades allow GEM to refine advertising content and boost gameplay experiences with sophisticated neural network features. The improvements also strengthen the platform’s object visual recognition capabilities, enabling businesses to gain more profound insights and deploy more accurate solutions. With better object detection and visual information systems, advertisers can more effectively analyze consumer behavior and optimize their campaigns, while game developers can craft more engaging and immersive user experiences.

“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure,” said Sean Prescott, Founder and Non-Executive Chairman of Scope. “The next generation of our platform will set us apart in what kind of data and its sensitivity we can process and store. It’s a potential game-changer for the industry.”

Scope AI has introduced significant upgrades to their GEM platform, aiming to revolutionize the advertising and gaming industries with new advanced features and deeper insights. The intuitive web interface of GEM allows users—from developers to large enterprises—to easily implement sophisticated object detection systems and develop real-time neural network models.

In the advertising sector, GEM’s enhanced visual recognition technology facilitates the creation of highly targeted and engaging advertisements. This advancement leads to more efficient ad spending and higher customer engagement levels, transforming how ads are crafted and delivered.

For the gaming industry, Scope AI’s GEM platform is set to redefine player experiences. By analyzing player behavior through neural networks, GEM customizes gameplay and recommendations, providing developers with critical insights to improve game design, enhance player retention, and generate new revenue streams. These upgrades position GEM as a crucial tool for both industries, offering innovative solutions and driving forward technological progress.

In what seems to be a controversial move, Meta Platforms, Inc. (NASDAQ: META) is reportedly set to use social media posts from Europe to train its Llama large language models. In an interview with Reuters, Meta’s top policy executive said that the company uses public Facebook and Instagram posts to train its Llama models, while excluding private posts and messages shared only with friends.

Also noteworthy, is a CNBC report that claims an investment firm called IFiAI that uses IBM’s Watsonx to help make projections about the short-term directions of stocks, has predicted big upside in Meta Platforms in the coming month. One of the new announcements already shared this month, is the plan for Meta to introduce free AI chatbots on its popular WhatsApp messenger platform.

“They need to find a way to show investors with some degree of conviction that there is a there there,” said Mark Shmulik, an analyst for Bernstein. “An AI-powered chatbot inside of business messaging feels like a great place to deploy it. You might be able to find product market fit sooner than you will on smart glasses.”

Google parent Alphabet Inc. (NASDAQ: GOOG, GOOGL) launched a flurry of announcements in May that demonstrated the tech giant’s ambitions to beef up its AI search and chatbot options. Google’s latest innovations include the addition of Flash to its Gemini 1.5 AI model family, designed to be faster and more cost-effective. Another breakthrough is Project Astra, a prototype capable of conversing with users about anything their smartphone camera captures in real time. Additionally, Google has introduced search results organized under AI-generated headlines.

“This is a moment of growth and opportunity,” said Sundar Pichai, CEO of Alphabet, when asked if the AI updates could risk Google’s profitable business.

Additionally, Google is introducing AI Overviews to all U.S. users for its search function this week, following extensive public testing since last year’s I/O event. This feature leverages generative AI to compile information and address more complex queries that lack straightforward answers on the web.

“The AI Overviews launch reception this week will be an indicator of how well Google can adapt its Search product to meet the demands of the generative AI era,” said Jacob Bourne, analyst of eMarketer. “To maintain its competitive edge and satisfy investors, Google will need to focus on translating its AI innovations into profitable products and services at scale.”

After an outcry regarding privacy concerns, Microsoft Corporation (NASDAQ: MSFT) recently backtracked on a plan to have its new AI-powered PCs utilize a “Recall” feature that would capture and store screenshots of users’ desktop activities. Moving on from the controversy, it appears Microsoft is now considering a big new software bundle plan to monetize AI features in its popular productivity software suite Microsoft 365, according to sources as reported by Business Insider.

Meanwhile, the market is paying close attention to an ongoing investigation by the Federal Trade Commission (FTC) regarding a deal with AI startup Inflection. The FTC is investigating whether Microsoft’s investment in Inflection should have been classified as an acquisition that the company failed to disclose to the government, according to a source reported by CNN.

“Our agreements with Inflection gave us the opportunity to recruit individuals at Inflection AI and build a team capable of accelerating Microsoft Copilot, while enabling Inflection to continue pursuing its independent business and ambition as an AI studio,” said a Microsoft spokesperson in a statement to CNN, adding that the company is “confident” it has complied with its reporting obligations.

For eCommerce and data center giant Amazon.com, Inc. (NASDAQ: AMZN), its subsidiary Amazon CloudWatch recently announced the general availability of natural language query generation powered by generative AI for Logs Insights and Metrics Insights. This feature allows users to effortlessly create queries within the context of their logs and metrics data using plain language. By streamlining the query generation process, it enables the user to quickly derive insights from observability data without requiring deep knowledge of the query language.

Amazon’s subsidiary Amazon Web Services (AWS) also recently debuted 2 new AI certifications to train more people and give them an edge in the pursuit of the growing number of in-demand cloud jobs. The AWS certifications include the AWS Certified AI Practitioner foundation-level certification, and the AWS Certified Machine Learning Engineer – Associate certification for individuals with at least a year of experience building, deploying, and maintaining AI and ML solutions on AWS. To date, AWS provides over 100 courses and learning resources in AI, ML, and generative AI through AWS Skill Builder and AWS Educate, equipping learners for the future of work.

Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/ 

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post AI Development Accelerates: Market Watch on Emerging AI Innovations first appeared on AI-Tech Park.