DDN®, the global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced Helmholtz Munich has selected DDN to accelerate its AI-driven discoveries. As part of the Helmholtz Association, Germany’s largest research organization, Helmholtz Munich is one of 19 research centers that develops solutions and technologies for the world of tomorrow. The research integrates AI methodologies and spans multiple data-intensive computational applications like decoding plant genomes, tissue sample testing or creature and epidemiology cohort studies.

Helmholtz Munich’s scientists and researchers continuously pursue new ways to solve complex problems faster, requiring a reliable solution that could keep up with research demands.

“The knowledge that Helmholtz Munich gains from its research forms the foundation of tomorrow’s medicine and delivers concrete benefits to society and improvements to human health,” said Dr. Alf Wachsmann, head of DigIT Infrastructure & Scientific Computing, Helmholtz Munich. “DDN’s decades of experience, world-class customer support and high-performing and reliable architecture helps me help my researchers continue their work without disruption today, and well into the future.”

Helmholtz Munich has four fully populated SFA® ES7990X systems that span a global namespace, enabling easy control and management of large data sets, streamlined workflows and unmatched performance needed to reduce time to discovery. The center also implemented an SFA NVMe ES400NVX system with GPU integration that delivers faster data throughput with direct datapaths between storage and GPU specifically for its intensive AI applications. The DDN EXAscaler® parallel filesystem appliances significantly accelerate Helmholtz Munich’s researchers’ ability to accelerate discovery processes while mitigating day-to-day risk associated with the ingest, distribution and analysis of Big Data.

“DDN EXAscaler’s performance is just one part of the complete AI storage picture with unmatched capabilities in security, stability, user and data management, and was built to tackle today’s most demanding AI end-to-end requirements at any scale,” said Kurt Kuckein, vice president of marketing, DDN. “DDN is honored to assist Helmholtz Munich by delivering solutions that allow its researchers to focus on the scientific discoveries that improve the world of tomorrow.”

Click here to learn more about Helmholtz Munich’s infrastructure challenges and the immediate benefits of implementing the DDN systems to accelerate the cutting-edge biomedical research taking place in Germany.

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Today Orby AI (“Orby”) has announced that it emerged from stealth to further develop its AI platform designed to democratize the use of Generative AI to automate repetitive human processes. The company also announced that it has raised $4.5M in seed funding from lead investors Pear VC and New Enterprise Associates, Inc. (NEA), with additional investment from Wing VC. The funding will be used to continue growing the team and further the research and development. Through its beta-stage development thus far, Orby has partnered with some of the world’s largest tech enterprises and other medium-sized companies.

According to a McKinsey Future of Work report, 60% of jobs have at least 30% of the work that is repetitive and automatable¹. Much of that work entails processing payments across finance and accounting departments, ticket resolution for customer support, and inputting lead management data for sales teams. Orby provides a unique “observe, learn, and automate” end-to-end experience. Orby observes a user’s activities, identifies repetitive work steps, and automatically generates code that ultimately automates these tasks. Moreover, Orby works behind the scenes to continuously learn from human feedback, becoming smarter over time with no coding involved whatsoever.

“If we think about an abacus, a computer, or any software, we have always learned to use tools to help us do our work,” shared Bella Liu, Orby AI’s Co-Founder and CEO, and Will Lu, Orby AI’s Co-Founder and Chief Technology Officer. “What if AI can learn from us and then just do the work for us?”

They continued, “With the continual breakthroughs in AI, especially foundation models, and Orby’s world-class AI/ML talent team, we are excited to push the boundaries of what AI can do to revolutionize how people interact with AI.”

“Upon meeting Orby AI’s team, our views on AI automation’s potential found a perfect match. Our partnership has led to a world-class team that exceeds expectations, forging the future of AI observation and actions. Orby’s technology, already trusted by large enterprises, enables robust workflow automation at the speed of innovation for both enterprises and end users — a game-changer. We’re thrilled to partner with Orby AI, ushering in this transformative future.” said Arash Afrakhteh, Partner at Pear VC who also joined Orby’s board of directors.

“The Orby AI founding team has a clear vision, deep domain knowledge, and technical expertise in building state-of-the-art AI systems. We are impressed with their lightning speed to productize AI research capability and iterate based on real customers’ feedback. We are excited to partner with this team to see them fundamentally change how people get their work done.” said Scott Sandell, Managing General Partner at NEA. 

Orby AI’s founding team has spent the last decade in the AI automation industry and deeply understands the problem and solution space firsthand. Bella Liu led the AI product team at UiPath, a leading software automation company, from the early stage to post-IPO. Will Lu led the engineering team at Google Cloud AI and built state-of-the-art AI systems from scratch, including Knowledge Service, Doc AI, and Enterprise Knowledge Graph. Working with Liu and Lu at Orby is a deeply knowledgeable team consisting of world-class AI/ML researchers and engineers from Google, Stanford, and other leading AI startups.

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Bloomberg Law today announced the launch of Bloomberg Law Contract Solutions, its AI-powered solution for storing, searching, drafting, and negotiating contracts. This new easy to use and implement product was developed in close consultation with corporate legal teams and with feedback from hundreds of in-house attorneys and legal professionals. Bloomberg Law Contract Solutions will be introduced at a live virtual event on Thursday, May 11 at 1:00 p.m. ET, accessible at http://onb-law.com/xYZk50OfKjg.  

Bloomberg Law Contract Solutions uniquely features:

• A secure, centralized repository, including a database of automatically extracted clauses to deliver an organized single source of truth that can be filtered, sorted, and searched across – with little to no data entry.
• Seamless integration with Microsoft Word, allowing users to access their contract repository and clause library directly from their document, providing a fast and easy starting point for drafting and revising contracts. 
• Advanced analysis tools, accelerating the review of draft agreements and allow users to efficiently identify and incorporate preferred language to ensure favorable terms.
• AI-powered extraction of key contractual terms, providing greater visibility into final agreements to help identify and flag potential risks and obligations.

For more than a decade, Bloomberg Law has been leveraging artificial intelligence and machine learning to power some of its most innovative workflow technology, such as its award-winning litigation tool Points of Law and its transactional intelligence tool Draft Analyzer. Bloomberg Law Contract Solutions builds on this pioneering legacy, leveraging proprietary semantic search and natural language processing (NLP) technology to deliver advanced search engine and contract analysis features.

“The way that Bloomberg Law Contract Solutions uses AI in the clause identification tool is very helpful for our team because we do not have to do the guesswork of figuring out whether there is a modification to our agreement that requires our attention,” said John Prindiville, senior corporate counsel, VetCor and a Bloomberg Law Contract Solutions customer. “This new product enables you to think more clearly and be more focused in your negotiations. It saves you time, enabling you to be a better attorney and provide thoughtful responses. “

“Contracts are a pain point for every corporate legal department, whether they manage ten or 10,000 agreements,” said Joe Breda, president, Bloomberg Law. “We’re committed to helping legal teams operate more efficiently so they can spend their time on more high-value work. Bloomberg Law Contract Solutions is just the latest in a long line of offerings from us that fills a void in the workflow technology landscape.”

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Surgalign Holdings, Inc., (NASDAQ: SRGA) a global medical technology company focused on elevating the standard of care by driving the evolution of digital health, is proud to announce today, the release of HOLO AI Insights for use in neurovascular research.

HOLO AI Insights, initially launched in March 2023 for spine imaging, enables customers, partners, and clinical researchers to take advantage of the Company’s HOLO artificial intelligence (AI) portfolio through a secure, highly scalable cloud platform for automated analysis of medical images. HOLO AI, Surgalign’s portfolio of AI technology, utilizes convolutional neural network technology to automatically segment medical images, measure anatomic structures, automate pedicle screw planning, and perform other tasks.

With this latest release, HOLO AI Insights has evolved to now address neurovascular research. This latest addition to the Company’s portfolio, can analyze large sets of cranial MRI images, automatically identify 16 different structures, and aggregate the data for the user into configurable graphical and file formats. The insights generated by these results are believed to have multiple applications in population health, clinical research, and in the future, patient care.

Surgalign has partnered with Dr. Brian Jankowitz, a fellowship trained cerebrovascular neurosurgeon, for neurovascular research with HOLO AI Insights. “Most of the AI work done in the neurovascular space has focused on acute care with CT imaging and doesn’t help with measurement. HOLO AI Insights can automate volumetric analysis of vascular structures on MRI, which is a big leap forward in efficiency and more applicable to longitudinal comparisons than other tools available today,” said Dr. Jankowitz. “I believe that ultimately this technology will both speed our workflow and improve clinical guidelines by providing a significantly more detailed characterization of neurovascular structures.”

Dr. Jankowitz, MD is a neurosurgery specialist with extensive experience in Neurocritical Care Disorders. He is affiliated with the medical facilities Hospital of the University of Pennsylvania and Cooper University Hospital. He previously served as an associate professor of neurological surgery at the University of Pittsburgh School of Medicine and served as faculty of the UPMC Neurosurgery Department and UPMC Stroke Institute where he specialized in both open and endovascular neurosurgery. Dr. Jankowitz earned a bachelor of science degree from the University of Notre Dame and received his medical degree from Temple University School of Medicine.

“It’s an honor to partner with Dr. Jankowitz with a shared goal of advancing technology utilized by neuroanatomy researchers,” said Terry Rich, President and Chief Executive Officer of Surgalign. “Collecting patient-specific medical information from multiple sites to generate population level reports using AI technology holds tremendous promise to improve our knowledge of the brain. We believe processing larger volumes of data is an invaluable step to generate reference information to help medical professionals as we continue to look for new ways to leverage our AI portfolio.”

HOLO AI also powers Surgalign’s HOLO Portal surgical guidance system and HOLO AI Insights for Spine. The addition of HOLO AI Insights for neuroanatomy is a further step in Surgalign’s mission to transform patient care with artificial intelligence.

HOLO AI Insights is not intended to be used for patient treatment. Learn more at https://www.holo.ai.

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Pan Software is excited to announce the immediate availability of SOCRAITES, true Artificial Intelligence for the Risk Management industry. Pan Software released its next gen Risk Management platform (https://www.riskware.com.au/) at the 2023 Risk Management Institute of Australasia annual conference with AI integration.

The world has evolved to the point where AI technology can now be leveraged to not only gain greater insights into your organisation’s risk environment, but used to support people in the work that they do.

“We are extremely excited about the impact this technology will have to help Risk Managers and this is only the beginning.” said Allen Zhang, Chief Technology Officer, Pan Software.

SOCRAITES has been developed with a core purpose of supporting your organisation through the risk assessment process, ensuring that the information captured is relevant, consistent and reliable. Through the use of RiskWare and SOCRAITES, leadership can better focus on understanding how the organisation needs to respond to the ever-changing environment, while safe in the knowledge that SOCRAITES will be supporting the broader business through the identification and assessment of its risk environment.

SOCRAITES ensures that RiskWare is capable of supporting even the most complex of organisational environments as it draws on best practice. Not only is SOCRAITES powerful, but it provides end users with a seamless user experience that is both extremely intuitive and insightful, thanks to its human-centered design principles.

SOCRAITES represents a game-changing leap in how risk management software can support organisations in what they do. With SOCRAITES, you can make more informed decisions and take proactive measures to mitigate risks before they become major issues.

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Renown global telematics brand, ATrack Technology (6465.TWO) will participate in Transport Logistic in Munich, Germany from May 9^th to 12^th. The Transport Logistic exhibition is a leading indicator for the global logistics industry. In addition to displaying a series of vehicle and asset trackers and smart AI camera for the transportation sector, ATrack will also showcase a series of in-vehicle AI computers, a solution to comprehensively improve the safety and efficiency of vehicles and driving while assisting customers in implementing intelligent cloud management and improving the overall operational efficiency of logistics.

ATrack states that vehicles currently account for approximately 15 percent of all carbon dioxide emissions in the European Union (EU). Although the EU has announced that it will completely ban the sale of gasoline-powered vehicles from 2035, the cost of electrification of trucks is very high, so the current proportion of electrified trucks in Europe remains low. However, in order to achieve net zero emissions by 2050, the EU has set a mid-term goal of reducing carbon dioxide emissions from cars by 55% and from trucks by 50% from 2021 to 2030. Therefore, the logistics industry looks to introduce technology to optimize the efficiency of vehicle use and reduce carbon emissions.

In-vehicle AI computers create 360-degrees of IoV applications

In-Vehicle Computer is a 360-degree of IoV application through the combination of in-vehicle computer, vehicle tracker and multiple-lens smart camera. Through AI and original edge computing technology, it can assist driving safety, monitor driving status and train driving behavior in real time to improve driving quality. Meanwhile, through real-time vehicle tracking, engine status diagnosis, fuel consumption and mileage monitoring, it can realize one-stop cloud fleet management, which can be applied to taxi, bus and railcar.

AM9 forms the core of IoV solutions

The AM9 is an in-vehicle embedded fanless computer, which is an important carrier for introducing telematics solutions. It can be integrated with taxi dispatch and billing systems to become a taxi fleet management solution. The AM9 has a built-in accelerometer and gyroscope, which can monitor the driver’s bad driving behaviors such as sharp turns, rapid acceleration and braking. In addition, AM9 is highly scalable and can import software applications and connect to hardware accessories such as cameras and monitors, making it a key core for the development a full range of IoV applications.

AK500 fully master vehicle status

The AK500 is a multifunctional telematics gateway that utilizes LTE Cat. 4 high-speed wireless mobile networking and is equipped with 2.4GHz, 5GHz Wi-Fi sharing, Bluetooth communication, and functionality including driver behavior monitoring and real-time positioning. It also supports multiple communication protocols and can monitor vehicle engine data including fuel consumption, engine speed, idling time, etc. The AK500 can assist customers in conducting in-depth big data analysis and early detection of potential problems for preventive maintenance. In addition, the AK500 has a large number of interfaces to connect various sensors such as tire pressure monitors, ID card readers, temperature and humidity sensors, etc., making it uniquely suitable for commercial vehicles and heavy trucks that require multiple applications.

AW500 AI computing improves driving safety

The AW500 smart AI camera with edge AI computing supports Advanced Driver Assistance Systems (ADAS). If a vehicle deviates, fails to maintain a safe distance, or performs other dangerous behaviors, a voice alarm will be issued immediately. At the same time, the Driver Monitoring System (DMS) can detect whether the driver exhibits negative behaviors such as using mobile phones, dozing off, smoking, etc., and reminds the driver through voice prompts to improve driving safety. In addition, in terms of poor driving or negative driver behavior, the AW500 will automatically record and upload incidents to the cloud which can greatly reduce the time and cost of resolving accidents.

AS700 zero lifetime maintenance, unlimited applications

The AS700 solar-powered asset tracker integrates the functions of solar charging and asset trackers. It is equipped with ATrack’s proprietary ultra-fast charging and highly-efficient power-saving technologies and can provide a lifelong power supply without any maintenance. The AS700 is suitable for important asset management that requires long-term and high-frequency transmission of information. In addition to real-time positioning, the AS700 can also be used in various scenarios with software applications and accessories including motion detection, truck/container door status detection, and continuous monitoring of in-container temperature and humidity. It is equipped with a real-time abnormality alarm to prevent damage to transported goods caused by abnormal temperature and humidity and is suitable for cold chain management and container tracking.

ATrack states that it will showcase in-vehicle AI computers, smart AI cameras, and a series of vehicle trackers at this exhibition. These demonstrate ATrack’s mature technological capabilities as the company vertically integrates the telematics market and continuously expands into the EU and its global market share.

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“Our partnership with OneTrack.AI has allowed us to take a more proactive approach to safety management,” said Chris Wright, CEO of Rinchem. “At Rinchem, safety is at the forefront of everything we do. We remain committed to investing in technologies that allow us to operate safely and efficiently while delivering the highest level of service to our customers.”

The OneTrack.AI technology is installed on forklifts in Rinchem’s warehouses and uses machine learning and proprietary AI sensors to detect, record, and prevent risky behaviors and accidents. The system factors in safety, productivity, and the skill levels of the technicians operating the forklifts to provide actionable coaching opportunities. The video and telemetry data captured by the forklift-mounted AI sensors are automatically shared with operations leadership who use the information to coach compliance with safety rules and procedures to prevent undesirable practices and incidents.

OneTrack.AI analytics tools provide visibility for leadership to identify trends, root causes, and process improvement opportunities. In the first 6 months since implementation, the OneTrack.AI Solution has had a measurable impact on warehouse operations at Rinchem: overall safety events reduced by 93% including a 95% reduction in unauthorized phone use, 73% reduction in impacts, and 71% reduction in potentially unsafe behaviors such as fast turns. A key component of the OneTrack.AI Solution is the ability to coach on leading indicators to prevent unsafe behaviors before they turn into incidents.

“At OneTrack.AI, we are proud to partner with Rinchem in their efforts to drive ongoing safety improvements,” said Nick Palczynski, Director of Strategic Partnerships at OneTrack.AI. “We understand the importance of safety in the chemical logistics industry, and our technology is designed to help specialized Third-party Logistics Providers like Rinchem improve safety metrics and enhance their safety management. We look forward to continuing our partnership with Rinchem and supporting their commitment to safety.”

Continuous improvement and employee safety are key pillars of Rinchem’s culture and the OneTrack.AI system is an important mechanism to achieve these goals. Rinchem’s commitment to performance optimization systems and practices, customized warehousing operations, and expertise in highly regulated industries and environments, make it an industry leader.

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Aisera, a leading provider of Generative AI solutions for organizations, providing innovative service experiences for employees (EX), customers (CX) and Operations (OX), is partnering with Microsoft to deliver an AI copilot for enterprise service experiences. The announcement is the extension of Aisera’s collaboration with Microsoft, having integrated the latest ChatGPT and generative AI capabilities from the Microsoft Azure OpenAI Service into Aisera’s AI Service Experience Platform (AISX). Enterprises can now benefit from Aisera’s verticalized domain-specific large language models (LLMs), generative AI, unsupervised AI, AI workflows, and orchestration bot engine to save costs, improve user productivity, and boost revenue.

Both customers and users expect better service experiences, user behavior-driven personalization, and smoother service interactions. At the same time, enterprises are challenged to deliver the execution of tasks, processes, and better SLAs with increasingly limited resources and reduced budgets. Together, Aisera and Microsoft will enable enterprises to take advantage of AI copilot capabilities to improve self-service, productivity, and proactive user engagement while decreasing resolution times and enhancing personalization.

“The AI race is on and we’re leveraging our long-standing relationship with Microsoft – a company at the helm of AI and cloud innovation – to enhance Aisera’s domain-specific generative AI service experience solutions,” said Muddu Sudhakar, CEO and co-founder, Aisera. “Together with Microsoft, we are delivering the most advanced customer services, employee services, operations services, and contact center services in the industry.”

“Aisera is helping to bring the capabilities of Microsoft’s Azure OpenAI Service, including ChatGPT, to critically important enterprise functions,” said Eric Boyd, Corporate Vice President, Azure AI Platform, Microsoft. “Aisera and Microsoft are two organizations committed to creating solutions that are scalable, easy to deploy, and designed to deliver revolutionary end-to-end experiences. By working together, we can ensure more enterprises leverage the power of generative AI to reduce operating costs, modernize business models, and grow revenue opportunities.”

To manage the constant influx of user inquiries and requests, Aisera provides a re-imagined user experience through its user-behavioral conversational dialogue engine to deliver human-like interactions with the speed of automation. With out-of-the-box Enterprise Domain Packs (EDPs), a global taxonomy and ontology library, and industry-specific LLMs, its AI bots are optimized for organizations that need a short time for deployment. Aisera also offers a built-in AI workflow orchestration engine that triggers automated processes through its integration with Microsoft Teams, Microsoft 365, SharePoint, Microsoft Dynamics 365, and Azure Active Directory resulting in resolution rates of 75% or greater for customers.

Aisera integrates Azure OpenAI Service with its own proprietary verticalized and domain-specific LLMs. With more than 100 million global users, Aisera offers an AI copilot with its proactive, personalized, and predictive AI Service Experience Platform, incorporating AI Service Desk, AI Customer Service, AIOps, and AI Contact Center for B2B and B2C organizations. Propelled by conversational and generative AI models, the Aisera platform auto-resolves requests, tasks, actions, and workflows for IT, HR, Finance, Sales, Marketing, Customer Service, and Operations.

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Generative AI models have quickly become a catalyst for innovation across industries from healthcare to financial services to e-commerce. However, off-the-shelf models have well-documented issues around data security, model transparency, and availability. Access to the alternative—custom Generative AI models—has been limited, until now.

“We believe that MosaicML Inference is a game-changer for Generative AI. It radically reduces the cost of serving large models and enables enterprises to do so in their own secure environments. Together with the MosaicML Foundation Series, enterprises now have more capabilities than ever before to achieve their own state-of-the-art AI without concerns about cost, scale, and security.” – Naveen Rao, CEO

Organizations are Building Custom LLMs on MosaicML

Today, organizations including Replit, Stanford, and Twelve Labs are building their own custom VLMs and LLMs on MosaicML because of the maximum control, privacy, and cost efficiencies it affords. MosaicML customers have found that smaller models trained on their own domain-specific data perform better than large generic models like GPT 3.5, the original model behind ChatGPT.

“Using the MosaicML platform, we were able to train and deploy our Ghostwriter 2.7B LLMfor code generation with our own data within a week and achieve leading results.” – Amjad Masad, CEO, Replit

MosaicML Inference Curates the Best Open Source Models

MosaicML Inference delivers maximum flexibility and choice for developers who want to add Generative AI to their applications. Developers can choose to deploy their own custom LLMs, or choose from a curated selection of the best open source LLMs available today, including the MosaicML Foundation Series of Models, Instructor-XL, Dolly, and GPTNeoX. The cost and time advantages of MosaicML Inference are attributable to efficient ML systems engineering and optimizations that enable you to serve smaller lightweight domain-specific models.

MosaicML Inference offers two tiers for Generative AI developers to get started easily with their model deployments:

1. Starter Tier: Open source models curated and hosted by MosaicML are offered as API endpoints for easy starts when adding Generative AI to applications.
2. Enterprise tier: Custom models developed by enterprises to address specific business use cases. Model and data are fully secured in the customer’s enterprise environment.

MosaicML Foundation Series

The MosaicML Foundation Series are pre-trained GPT-style models for customers to fine tune and deploy. The LLMs in this series are in many cases higher performing than comparable open source models, with unique capabilities that go beyond GPT-4. The first set of models in the series will be open-sourced to the community starting this week.

MosaicML Inference Delivers Privacy & Control

According to a recent KPMG study of 225 US executives, while two-thirds of executives believe that Generative AI will have a major impact on their business, nearly the same percentage say they are still one or two years away from deploying extensively into their operations. Two of the main reasons? Concerns about cyber security (81%) and data privacy (78%) issues.

In addition to unprecedented cost efficiencies, with MosaicML Inference organizations can also develop and deploy their own generative AI models with complete data privacy and control. Developers can deploy on a secure cluster hosted by MosaicML or on their infrastructure of choice such as AWS, Oracle Cloud Infrastructure, and GCP. Developers can turn a saved model checkpoint into a secure, inexpensive API hosted within their own virtual private cloud (VPC) environment in under a minute. Inference data never leaves the secured environment of the user’s infrastructure. MosaicML Inference also offers continuous monitoring of cluster and model metrics for enterprise-grade DevOps, ensuring complete transparency for model behavior.

To learn more about MosaicML’s revolutionary tools for building and training advanced AI models, visit mosaicml.com.

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Ankor succeeds Ratan Datta, who led Straive for over a decade, with the last seven years as President and CEO. Effective May 1, Ratan will assume the role of Vice Chairman to support the transition to Ankor and will continue to be a member of Straive’s board of directors.

Ankor joins Straive from EXL, where he was a member of the Executive Committee and served as Executive Vice President and Chief Digital Officer. Over 20+ years, Ankor has led the growth of high-value data-led tech businesses by developing high-impact solutions for Fortune 1000 companies across North America, the UK, and Asia. Ankor helped grow EXL’s Analytics business from a niche analytics practice into a full-stack analytics powerhouse. Before that, he was a partner at Inductis, one of the original pioneers of data and analytics in the industry.

“Over the last 15 years, Ratan has greatly influenced the company’s growth and diversification. The transformation he has brought in the company’s strategy and structure leaves Straive positioned well for the future. On behalf of our Board of Directors, I would like to thank Ratan for his exceptional leadership at Straive. Ankor brings an outstanding track record of building customer-centric data, analytics, and AI businesses to service clients across sectors and geographies. I am excited to welcome Ankor to the firm, and I look forward to working with Ankor, complemented by our talented leadership team, to take Straive to new heights,” said Josh Blair, Chairman of the Board.

“I am very excited about the market opportunity for Straive. Today, we help our clients create new data, insights, and knowledge and integrate that into complex digital workflows for learning and education, scientific research, and other business operations. As our clients address new opportunities around data, analytics, AI, and digital technologies, Straive’s capabilities are critical to executing such complex transformations seamlessly,” said Ankor Rai.

“We are thrilled to have Ankor join Straive as the Chief Executive Officer. His experience in building data analytics and AI business at scale, combined with the experience of integrating such next-gen capabilities into redesigned human-in-loop operations, is critical for our clients today. We look forward to Ankor deepening our relationship with our clients by adding even more value to their businesses,” said Hari Gopalakrishnan, Partner, BPEA EQT.

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