Alpha FMC, the leading global consultancy to the top asset and wealth management, insurance, and private markets firms, today announced the launch of its AI & Data Science Innovation Hub. The Hub is a consortium of investment managers and AI experts from across the globe collaborating and offering industry-specific expertise to navigate artificial intelligence (AI) and data science opportunities across the industry.

“There is a lot of noise and hyperbole around AI and data science in the financial services market,” said Sam Iles, Alpha’s Senior Partner and Head of Ventures & Innovation. “With the Hub, we can provide clarity and a structured evaluation process focused on delivering tangible, realistic AI-driven outcomes to our clients, and offer members the opportunity to access industry-specialist AI talent and collaborate with peers in an efficient, cost-effective manner.”

The AI market is forecasted to experience an annual growth rate of 37.3% through 2030. More businesses are exploring strategies to apply the benefits of AI and data science to boost their bottom line. However, navigating AI and data science can be intimidating and extremely time-consuming, having to cut through the noise, evaluate a plethora of vendor options, and work out how to apply AI to industry-specific use cases in ways that add value. Through Alpha’s new Hub, clients can join the consortium and have access to AI experts, industry insights, blueprints and best practice to help them achieve tangible results and outputs targeted to industry-specific use cases.

“We created The Hub after hearing from clients that they wanted to leverage AI and data science in a way that works for them,” said Dr. Till Blesik, the data scientist leading The Hub. “There are a plethora of AI solutions and options, the Hub allows us to highlight the different strengths for our clients and offer insights for a path forward rooted in rigorous and consistent evaluation, and the collective knowledge of the consortium.”

Alpha’s Hub monitors and researches the latest innovations in the industry and changes in leading technology platforms and applications, helping clients leverage the most appropriate technology architecture across their landscape. The Hub offers:

• Definitions of structured AI architectures
• Training and playbooks to enable the workforce
• Tailored benchmarks and actionable insights
• Organizational structures that fit architecture and strategy

Additionally, all the AI resources developed in the Hub use industry-leading tools and applications, such as Snowflake & Azure, and through industry partnerships with tailored solutions such as BlueFlame AI, to streamline portability into client architectures when building solutions and ensure members stay at the cutting edge of innovation with vendor solutions. The Hub is being launched with a number of global investment managers as founding members and will be available to additional members and strategic partners within the next month.

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Capgemini Government Solutions LLC today announced a new initiative with The Defense Advanced Research Projects Agency (DARPA) to investigate the use of quantum computing in the field of carbon capture. Beyond pushing the boundaries of technological innovation, this project provides an opportunity for Capgemini to work alongside the U.S. government to advance sustainability efforts and promote a greener future. To support this work, Capgemini will leverage its engineering talent across the globe to navigate the complex ecosystem of carbon capture. As part of this agreement, Capgemini will offer the use of its specialist hybrid intelligence team’s capabilities to tackle high-impact exploratory efforts and identify breakthrough technologies that can accelerate innovation and digital transformation.

DARPA’s Advanced Research Concepts (ARC) topic, ‘Imagining Practical Applications for a Quantum Tomorrow’ (IMPAQT), will focus on exploring quantum algorithms. The goal of Capgemini’s research is to better understand the predictive features of materials by leveraging quantum simulation. The results can be used in data-driven modeling for applications such as carbon capture and storage.

To support this project, Capgemini will provide a team of specialists with research backgrounds in quantum and computational chemistry and proficiency in applied modeling and simulation utilizing quantum computing. By furthering knowledge on metal organic frameworks, this collaboration offers greater diversity, flexibility, and optimization of carbon capture and storage and holds particular relevance for tackling current global challenges in sustainability.

“Capgemini’s breadth of experience with quantum computing and hybrid intelligence, paired with our deep capabilities in carbon capture across the Group, enables partnerships with organizations like DARPA,” said Khalid Sebti, Managing Director at Capgemini Engineering in The Americas. “Beyond pushing the boundaries of technological innovation, this collaboration is an opportunity for Capgemini to work alongside the US government to advance sustainability efforts and promote a greener future.”

To further support the application of quantum computing, Capgemini has a dedicated Quantum Lab that helps clients to understand the potential of quantum technologies and develop strategies that help them make the shift. This lab brings together the combined expertise of a global network of quantum experts, partners, and specialist research facilities from across the Group.

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Munjay has held senior leadership roles at global technology consulting and product firms, where he drove operational efficiency and customer experience initiatives across diverse market segments. He will provide the strategic vision, leadership, and deep operational expertise needed to accelerate the delivery of Tredence’s organic and inorganic growth strategies.

Munjay’s appointment follows a season when Tredence has raised more than $205 million from private equity firms, expanded into new regions and verticals, launched the ATOM.AI ecosystem, and developed a GenAI-as-a-service platform. Driven by innovation and co-creation with clients, Tredence has grown 4x between 2020 and 2024, achieving 40% growth in 2023.

“I am thrilled to join Tredence and amplify its ability to help enterprise clients modernize data ecosystems and solve last-mile AI challenges. Our suite of 100+ AI/ML accelerators delivers unprecedented value to clients, providing a wide array of solutions to boost decision-making and unlock new opportunities. Additionally, our verticalization strategy, expert practices, and extensive partner network enable us to solve increasingly complex industry challenges and tailor our capabilities to client needs,” said Munjay Singh, COO of Tredence.

“Tredence collaborates with more than forty Fortune 500 companies to help them uncover opportunities in marketing, customer experience, supply chain, and other functions. We have developed verticalized collections of AI and data accelerators that our clients have implemented to achieve tangible business improvements within weeks. Under Munjay’s leadership and strategic guidance, we aim to propel this vision forward, driving innovation and operational excellence across our business functions and practices, and achieving new levels of success,” said Shub Bhowmick, CEO and co-founder of Tredence.

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Hexagon’s Manufacturing Intelligence division today announces its strategic partnership with Microsoft, which aims to redefine how engineers collaborate and enable the discrete manufacturing industry to innovate faster, with more confidence, and with new solutions that combine data from virtual engineering processes with real-world measurement of manufactured products. The collaboration will offer solutions that use modern cloud infrastructure to connect manufacturing and engineering systems – including Microsoft 365 – in Hexagon’s Nexus digital reality platform for manufacturers, and help employees increase their productivity through cloud-accelerated simulation and AI. 

The partnership aims to transform collaboration across the manufacturing value chain and apply digital twins to accelerate product innovation.

Transforming how manufacturers collaborate

Hexagon and Microsoft have partnered closely on the development and scaling of the open-source Fluid Framework and Azure Fluid Relay service to support the real-time sharing of data across a wide range of manufacturing industry processes and systems, allowing data created in one system to be immediately available to any other person or machine operating in another. Under the new partnership, the Microsoft 365 ecosystem will plug into this data layer, enabling customers to connect their day-to-day office documents and processes with manufacturing tools. This gives teams the freedom to innovate with the tools they already use; for example, tooling cost data from a Microsoft Excel worksheet could be easily shared with a CAM programmer, so simplifying work practices and decision-making between roles.

Microsoft Teams calls can become interactive working sessions, with CAD, simulations or metrology point clouds seamlessly visualised from the source data to allow on-the-spot collaboration and fast, iterative teamwork across disparate engineering and manufacturing functions. Hexagon has already demonstrated this capability in its 3D Whiteboard Nexus tool, which is also now available as an native app in Teams.

Accelerating innovation through AI and high-performance computing

Hexagon is working with Microsoft to integrate generative AI models into its manufacturing software, helping users to make better use of their capabilities and analysing existing datasets to learn and suggest the best practices for achieving desired outputs. These AI experiences include contextual advisors, offering expert users productivity-boosting automation while also helping new users to upskill faster and achieve good results with less supervision – a valuable tool as the industry faces a growing skills shortage in many essential roles.

The partnership will apply Hexagon’s manufacturing, engineering and data science domain expertise and Microsoft Azure’s elastic computing and high-performance computing (HPC) infrastructure to accelerate engineering simulations by up to three orders of magnitude, making it possible to streamline design & engineering workflows to deliver innovative products to market at greater speed. Hexagon’s machine learning technology optimizes heavy-load simulations, allowing them to run much more efficiently. Azure customers will be able to use their existing contracts to access this machine learning-accelerated compute service through Nexus – allowing teams to use the IT they already have in place.

Combining Hexagon’s measurement and reality capture technology and Nexus open-access

 platform with Microsoft’s cloud ecosystem creates the foundation for agile and collaborative engineering applications and industrial metaverse use cases. A digital twin utilising Azure compute for simulations can now draw Hexagon’s real-world, real-time data capture and present information to users without complex systems integration. By implementing these technologies, manufacturers can create new workflows across the product lifecycle that shorten time to market, improve factory-floor efficiencies, identify manufacturing problems in real-time and improve quality.

Stephen Graham, EVP and General Manager Nexus at Hexagon said: “At Hexagon, we’re on a mission to empower the workforce by presenting them with the best available information as soon as possible and helping them to close the gap between their optimal-performance virtual designs and the physical products that they manufacture. We have achieved a huge amount with Microsoft in a few short months by collaborating closely and applying their best cloud technologies to unlock new ways of collaborating and sharing data.

Our strategic partnership takes this to the next level, driving a shared vison and go-to-market to help our customers connect their Hexagon tools and products with third-party engineering systems and Microsoft 365. This allows for completely new workflows to be built, increasing the visibility of data, enabling sustainable innovation and increasing productivity from design & engineering to end-of-life management.”

Aleš Holeček, Corporate Vice President Office Product Group, at Microsoft said: “Microsoft’s collaboration with Hexagon is driven by a shared belief that the future of work and productivity is grounded in collaboration. Similar to how Microsoft applied the Fluid Framework to our own Microsoft 365 applications, Hexagon has extended that same open-source data fabric to manufacturing problems, enabling real-time collaboration between the many engineering disciplines it takes to make a great product, through its Nexus platform running on Microsoft Azure. It’s something that will push the boundaries for workplace collaboration for both of our platforms as we connect productivity with the engineering and operational technologies ‘makers’ need to be productive today.”

Learn more about Nexus at https://hexagon.com/products/product-groups/nexus

Media contacts:
Robin Wolstenholme
Global Media Relations and Analyst Relations Manager
Hexagon’s Manufacturing Intelligence Division
Phone: +44(0)7407 642190
e-mail: robin.wolstenholme@hexagon.com
Global press office: media.mi@hexagon.com

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Altair (Nasdaq: ALTR) a global leader in computational intelligence, acquired Cambridge Semantics, a modern data fabric provider and creator of one of the industry’s leading analytical graph databases. Cambridge Semantics’ graph-powered data fabric technology accelerates the creation of comprehensive enterprise knowledge graphs, integrating the complex web of structured and unstructured enterprise data together into a single, simplified view.

Bringing together Cambridge Semantics’ transformational knowledge graph technology with Altair’s leading tools for data analytics and data science offers organizations a solid foundation for building advanced analytics ecosystems that inject artificial intelligence (AI) into day-to-day business operations.

“Knowledge graphs are key pieces of data fabrics. They put the right data in the right hands at the right time. We believe Cambridge Semantics brings the fastest and most scalable knowledge graphs to organizations who have significant data volumes and deep questions,” said James R. Scapa, founder and chief executive officer, Altair. “Additionally, knowledge graphs are critical for successful generative AI applications as they provide the business context necessary to ground generative AI models, eliminate hallucinations, and dramatically improve response quality.”

Cambridge Semantics’ technologies will be integrated into the Altair® RapidMiner® platform, adding knowledge graph, data governance, data virtualization, and data discovery technology to the platform’s existing data preparation, ETL, data science, business intelligence, MLOps, workload management, and orchestration tools.

“Joining Altair is a natural transition for Cambridge Semantics as we seek to accelerate the pace of our technology adoption,” said Charles Pieper, chairman and chief executive officer, Cambridge Semantics. “Cambridge Semantics has historically been successful with Fortune 500 government, defense, life science and manufacturing organizations. Bringing Cambridge Semantics to Altair’s broad customer base through the Altair Units business model – and integrating it into Altair RapidMiner – is an exciting prospect for us and for our customers.”

Cambridge Semantics was founded in 2007 by an innovation and engineering team from IBM’s Advanced Technology Group with a shared belief that semantic graph data models were a transformational technology destined to help organizations exploit their data in unprecedented ways: fueling analytics, revealing new insights, and enabling strategically important, competitive differentiation. Its technical team was fundamental to the development of data warehouses IBM Netezza and Amazon Redshift and represents one of the largest single collections of knowledge graph experts in the world.

“This acquisition adds deep data warehousing expertise to our already strong analytics and data science team, creating an enhanced core group of engineers that understand the entire data lifecycle – from data creation to real impact,” said Srikanth Mahalingam, chief technology officer, Altair. “We are all excited about where this combined team and technology will take us.”

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DTEX Systems, the global leader for insider risk management, today announced its partnership with Mandiant under the DTEX Systems Global Partner Program.

As the newest member of the DTEX partner network, Mandiant will have the ability to deploy the DTEX InTERCEPT platform to elevate its global insider risk consulting practice. The partnership will enable Mandiant to draw on DTEX’s data science and 20 years of experience in protecting large-scale commercial and government entities against data loss in the most complex and compliance-driven environments.

Part of Google Cloud, Mandiant delivers professional services and expertise to help organizations, including global critical infrastructure, mitigate threats and reduce business risk before, during and after an incident. The partnership closely follows the announcement that CapitalG, the independent growth fund of Google’s parent company Alphabet, led a $50M Series E investment in DTEX.

“DTEX Systems addresses one of the top concerns for security executives today,” said Melissa K. Smith, Head of Strategy and Technology Partnerships at Mandiant. “As the volume and speed of security data generated by organizations continues to grow at an unprecedented rate, it is becoming increasingly difficult for security teams to identify suspicious behaviors and insider threats. This partnership will enable us to help organizations gain a deeper understanding of insider behaviors and trends to mitigate potential risks and enhance cyber defenses in today’s evolving landscape.”

Whether it’s supporting an insider risk management strategy, developing zero trust data loss prevention solutions, or protecting remote workforces, the DTEX Global Partner Program is designed to multiply the value of a customer’s existing cybersecurity investment. The program empowers and supports partners through the integration of DTEX’s InTERCEPT and PULSE platforms with existing security tools and access to its full portfolio of world-class consulting services.

DTEX InTERCEPT complements several SIEM, SOAR, and EDR technology partners to provide complete visibility across the attack surface while enriching data to provide a comprehensive understanding of insider risk. DTEX is launching its expanded technology alliance partner base through a new private preview integration with Chronicle, part of Google’s cloud-native security operations suite. This partnership will empower DTEX customers to significantly uplift their threat detection, investigation and response capabilities with speed and precision at Google-scale.

“The threat landscape has never been more complex, with nation-state actors increasingly targeting and exploiting trusted insiders, especially in critical infrastructure and defense. Our partnership with Mandiant is a significant leap forward in helping the most important sectors to mature their insider risk programs with the pace, technology, support, and maturity they need to stay ahead of internal adversaries,” said Marshall Heilman, CEO, DTEX Systems.

Heilman continued, “We are thrilled to join forces with Google Cloud and Mandiant to accelerate our collective mission of safeguarding the data, people, success, and reputations of enterprise and federal entities across the world.”

DTEX InTERCEPT is a purpose-built platform that combines Data Loss Prevention, User Activity Monitoring and User Behavior Analytics to enable mission-critical entities to stop insider risks from materializing into data breaches. Combining rich telemetry across cyber, physical, and psycho-social sensors, InTERCEPT surfaces unique potential risk indicators to detect and deter true insider risks at unprecedented scale, with privacy by design. Ai³ is the evolution of InTERCEPT, building on 20 years of insider risk experience to guide and expedite investigations in a matter of minutes.

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Uptake, a data analytics provider empowering fleets and industrial machines with the information needed to make better, more strategic maintenance decisions, announced it has named Adam McElhinney to the role of Chief Executive Officer.

McElhinney most recently served as Chief Data Science Officer and Vice President of Insights at human capital management software company Paylocity, where he oversaw teams of data scientists, software engineers, data engineers, and product managers. Before Paylocity, he led the data science team at Uptake, where he spearheaded the creation of its cutting-edge industrial data analytics tools as one of the company’s first 25 employees.

“I could not be more excited to rejoin Uptake and lead its next phase of growth,” McElhinney said. “In addition to expanding the company’s footprint in the transportation space, I will work closely with Uptake’s current customers, who want to leverage their investments in telematics and sensor data to gain even more insights across their fleets and existing assets.”

Using artificial intelligence and machine learning, Uptake enables the world’s top fleets to make data-driven decisions to mitigate risk, optimize maintenance strategies, reduce costs, and enhance safety and sustainability. Under McElhinney’s leadership, the company is currently developing a number of product enhancements for new and existing customers, including a suite of tire monitoring solutions and a new dashboard for a more granular analysis of fleet subsystem health.

“I am so proud to welcome back Adam to the Uptake team. He first joined as a data science leader and we are excited to appoint him as CEO. This is another reflection of our commitment to AI and to excellence in data-driven insights for our customers.” said Brad Keywell, Uptake’s co-founder and executive chairman.

A proven data science leader, McElhinney has filed 19 patents for his research in machine learning, the Internet of Things (IoT), software engineering, and big data technology. He is a former Adjunct Professor in the Computer Science and Mathematics departments at the Illinois Institute of Technology and was recognized by the Illinois Technology Association as the 2018 Technologist of the Year. McElhinney is the former President and board member of the Chicago Chapter of the American Statistical Association, and he serves as an advisor to several Chicago-area startups.

This announcement also follows Uptake’s third inclusion on theCrain’s Chicago Business list of Most Innovative Companies, further demonstrating the company’s commitment to technological growth and refinement of its targeted predictive analytics capabilities.

To learn more about Uptake Fleet’s predictive maintenance solutions, go to https://www.uptake.com/fleet.

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QuantexAI, an innovative startup in the field of Generative AI and Data Science, announced that it has successfully secured $1 million during its pre-seed funding round. This milestone marks a significant step forward in the company’s mission to democratize data science for enterprise users, especially those with minimal technical background.

Founded by a team of seasoned experts and led by a faculty member from the National University of Singapore, QuantexAI boasts a strong academic pedigree. The team, known for ranking consistently in the top 5-15% in various M-series competitions, brings decades of experience in machine learning and forecasting to the table.

QuantexAI is set to revolutionize how businesses interact with data. Their unique approach allows users to engage in natural conversations with AI to perform advanced forecasting and dynamic data visualization. This breakthrough technology can autonomously explore data within clients’ private data lakes, a first in the market.

The company is nearing the end of its product development phase and is poised to onboard beta customers by Q1 2024. The ongoing discussions with potential partners underscore the growing interest in QuantexAI’s solution.

QuantexAI is also a proud member of the NVIDIA Inception Program, which has been instrumental in the startup’s journey. This affiliation provides QuantexAI with vital networking opportunities with potential clients and investors. It also allows them to tap into NVIDIA’s technical expertise and access GPUs, crucial for powering both their data science and Large Language Model (LLM) components.

The public can catch a glimpse of QuantexAI’s groundbreaking solution on the company’s website. The demo showcases how even individuals with limited technical skills can easily utilize AI for sophisticated data exploration and state-of-the-art forecasting.

QuantexAI’s technology stack is robust, featuring Triton Inference Server, NeMo Guardrail, LangChain, and LlamaIndex for its Generative AI architecture, alongside RAPIDS, Dask, Optuna, and a proprietary data pipeline for its data science workflow.

As QuantexAI steps into the spotlight, it promises a future where enterprise data analysis is accessible, intuitive, and more powerful than ever. With its innovative AI-driven solutions, QuantexAI is not just forecasting data trends, it’s forecasting a new era in business intelligence.

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Teradata (NYSE: TDC) — Customers of Teradata’s ClearScape Analytics experienced increased profitability through a notable improvement in data scientist productivity, faster time-to-market, scaling of artificial intelligence/machine learning (AI/ML) model deployment, and more. Those were among the conclusions announced today in a Forrester Consulting Total Economic Impact^TM (TEI) study commissioned by Teradata.

The study, entitled “The Total Economic Impact of Teradata ClearScape Analytics” explored findings gleaned through Forrester Consulting interviews with a North American healthcare organization with $5 billion in annual revenue and over 25,000 employees, and a ClearScape Analytics customer. Forrester then used the information to extrapolate and project a three-year financial analysis showing the 36-month, risk-adjusted present value (PV) benefits including the following:

• Improvements in data science operations directly attributed to ClearScape Analytics
  • 50% improvement in cumulative time savings for data science lifecycle
  • 3x more models managed by data scientists
  • It took less than 6 months to achieve payback for the healthcare organization’s ClearScape Analytics investment with an ROI of 244% over three years
• Improvements in AI/ML projects enabled by ClearScape Analytics
  • $125 million profit from models enabled by ClearScape Analytics
  • Increase in email open rates from 2% to 46%

Before using ClearScape Analytics, the healthcare organization interviewed for the TEI study said it faced difficulties in scaling its AI/ML models, and experienced problems around managing model drift, updating its feature banks and more. Because of these issues, the organization struggled to identify which AI/ML work would deliver real business value. Moreover, the organization could not run as many models as it would have liked as their data science team was at capacity and struggled to find ways to create new business value with AI/ML. Deploying ClearScape Analytics helped the company to mitigate these obstacles, provide better customer service, and halving the team’s work time. The company has now increased its data science team by 50%, tripled the number of models it was able to develop and deploy, and has freed up time to explore additional AI/ML use cases.

The Forrester study noted, “Investing in a solution like Teradata ClearScape Analytics is crucial for enterprises as it enables them to responsibly build and maintain machine learning (ML) models for their custom AI/ML solutions.”

“The important short- and long-term benefits cited in this study, as noted by our healthcare customer, can be experienced by companies across a broad spectrum of industries where there is a need for robust, open and connected AI/ML capabilities,” said Jacqueline Woods, Teradata’s Chief Marketing Officer. “ClearScape Analytics illuminates this transformative potential, not only delivering these capabilities at scale but also empowering organizations with unparalleled autonomy and seamless access to deliver near real-time insights and optimize business results.”

The study also identified additional benefits from ClearScape Analytics:

• “The SVP of enterprise data and analytics told Forrester that adopting ClearScape Analytics was cheaper, easier to justify to internal security and IT stakeholders, and faster to implement than alternatives.”
• “ClearScape Analytics allowed the interviewee’s organization to reduce manual tasks, increase productivity, and successfully scale models into production …”
• “ClearScape Analytics enabled the SVP of enterprise data and analytics … to deploy more models into production more frequently and with fewer resources.”
• “Models built with ClearScape Analytics improved patient population health and outcomes through personalized messaging, proactive and relevant follow-ups, a better understanding of population health, and more.”
• ClearScape Analytics’ powerful AI engine empowered the customer to quickly scale end-to-end AI/ML pipelines with accountability, security and trust — all while controlling costs.

Forrester’s TEI methodology is designed to enhance technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.

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ProSearch, a leading provider of comprehensive discovery and compliance solutions to corporate legal departments and law firms, announces the expansion of its leadership team with the addition of a new chief operating officer, Debora Jones. Jones oversees much of the day-to-day management of the business and is leading its continued growth and evolution.

ProSearch has recently introduced new innovative solutions, signed multiple high-profile clients, and added several industry subject matter experts to its leadership, client services, and data science teams. Further propelling the company’s growth, ProSearch received its first private equity investment last year.

Jones brings to ProSearch significant expertise in scaling operations, unlocking revenue opportunities, and building exceptional business cultures. Her extensive experience includes recently working as COO with Exterro, prior to which she spent more than a dozen years in progressive leadership roles at Lighthouse Global and practiced as a litigation attorney at two prominent law firms. Her leadership experience also includes board positions with Washington Women Lawyers and the Seattle chapter of Women in eDiscovery, and she has served as a program and a committee chair with the Association of Corporate Counsel. Jones earned her Bachelor of Arts degree from the University of Washington and her Doctor of Law degree from the George Washington University Law School.

“The discovery and legal technology industries are rapidly evolving, and ProSearch is committed to evolving with them. Adding a COO with Debora’s experience and background better positions our company for continued growth and expansion,” says Julia Hasenzahl, co-founder and CEO of ProSearch. “We are grateful to have Debora on board and look forward to her leadership and contributions as we introduce more innovative solutions and continue our trajectory into the future.”

ProSearch offers large corporations a unique partnership model in its Enterprise discovery solution that is both scalable and tailored to help legal teams manage their work and make informed business decisions. The company introduced its discovery review service last year, an offering that uses innovative solutions in AI and data science to address the increasing complexity and cost of legal discovery. The new Review Services model extends the company’s highly regarded approach to aggressive reduction in review volumes and offers valuable insights that accelerate discovery.

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