Also Read: Expert.ai and Fincons Expand Partnership to Advance Neuro-Symbolic AI Adoption

Built on years of observational analysis across Fortune 500 organizations, ABCF combines behavioral work intelligence with Skan’s previously launched Agentic Ontology of Work and continuously improves through execution feedback loops. “The enterprise AI community has converged on the right architectural direction with context graphs and business context layers. What is consistently underestimated is where the operational context actually comes from,” said Manish Garg, Co-founder and CTO of Skan AI. The company positions ABCF as a foundational operational intelligence layer that strengthens the reliability and autonomy of enterprise AI agent architectures.

Read More: Skan AI Introduces New Intelligence Framework for Enterprise AI Agents

The post Skan AI Launches ABCF Framework to Improve Enterprise AI Agent Performance appeared first on ITDigest.

Also Read: Optro and EY US Introduce AI-Powered Regulatory Change Management Solution

Highlighting the strategic value of the collaboration, Andrea Ricotti, SVP Channel Development EMEA at Expert.ai, stated, “In this context, Expert.ai’s neuro-symbolic approach—combining generative AI capabilities with semantic understanding—together with Fincons’ deep expertise in integrating AI into enterprise systems and processes, creates the ideal foundation for designing agent-based architectures that are reliable, controllable and built to scale.”

Read More: Expert.ai and Fincons Group Join Forces to Bring Neuro-Symbolic AI to Data-Driven Businesses

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In Hardware and Network news this week…

Forward Launches Forward Predict to Unlock Autonomous Networking
Forward Networks has introduced Forward Predict, a solution designed to help organizations move toward autonomous networking. By leveraging predictive analytics and network intelligence, the platform enables IT teams to identify potential issues before they impact operations. This development reflects the growing demand for self-managing and resilient network infrastructures.

In Business Technology news this week…

Google Introduces Gemini for Science to Accelerate AI-Driven Scientific Discovery
Google has unveiled Gemini for Science, an AI initiative aimed at accelerating scientific research and discovery. The platform is designed to assist researchers in analyzing complex datasets, generating insights, and speeding up innovation across scientific disciplines. This marks another step toward AI becoming a core tool in research and development.

In Cloud Computing & AI Infrastructure news this week…

Blackstone and Google Partner to Launch AI-Focused TPU Cloud Venture
Blackstone and Google have partnered to establish a TPU-focused cloud venture designed to support the growing demand for AI computing resources. The initiative aims to expand access to specialized infrastructure for training and deploying advanced AI models, highlighting the increasing importance of AI-native cloud environments.

In Artificial Intelligence news this week…

Virtualitics and OpenAI Join Forces to Develop Next-Generation AI Readiness Solutions
Virtualitics and OpenAI have announced a collaboration to help enterprises prepare for large-scale AI adoption. The partnership focuses on improving AI readiness through enhanced analytics, decision intelligence, and operational planning. As organizations scale AI initiatives, readiness and governance remain critical priorities.

In Quantum Computing news this week…

IBM and U.S. Commerce Department Launch America’s First Purpose-Built Quantum Foundry
IBM and the United States Department of Commerce have launched the nation’s first purpose-built quantum foundry. The initiative is designed to strengthen quantum research, manufacturing capabilities, and innovation within the United States. This milestone underscores the growing strategic importance of quantum technology in national competitiveness and scientific advancement.

In FinTech news this week…

OpenAI Expands ChatGPT into Personal Finance with Bank Account Integration
OpenAI is extending ChatGPT’s capabilities into personal finance through bank account integration features. The move aims to provide users with more personalized financial insights, budgeting assistance, and account-related guidance. This development highlights the expanding role of AI assistants in managing everyday financial activities.

In HealthTech news this week…

QIAGEN Launches QIA Agent to Bring AI-Driven Scientific Guidance into Research Workflows
QIAGEN has introduced QIA Agent, an AI-powered solution designed to support researchers with scientific guidance throughout their workflows. By integrating AI into laboratory and research processes, the platform helps scientists access insights more efficiently and improve productivity. This innovation demonstrates the increasing influence of AI in life sciences and biotechnology.

In Cybersecurity news this week…

Sumo Logic Brings Comprehensive Visibility Across Claude Ecosystem via New Integration with the Claude Compliance API
Sumo Logic has introduced a new integration with the Claude Compliance API from Anthropic. The integration provides organizations with enhanced visibility, monitoring, and governance across AI environments powered by Claude. As enterprises adopt generative AI at scale, compliance and security oversight are becoming increasingly important.

Article of the Week

Guide to Implementing Zero Trust Security Architecture: A Step-by-Step Framework for Modern Enterprises

Zero Trust has evolved into a foundational cybersecurity strategy for modern enterprises. By assuming that no user, device, or system should be trusted by default, organizations can significantly reduce risk and strengthen security resilience. Successful implementation requires continuous verification, identity-centric access controls, network segmentation, and ongoing monitoring. As cyber threats become more sophisticated, Zero Trust frameworks are increasingly essential for protecting critical assets, maintaining compliance, and safeguarding digital trust.

The post ITDigest’s Weekly News Roundup Featuring Forward Networks, Google, Blackstone, Virtualitics, OpenAI, IBM, and Anthropic appeared first on ITDigest.

As more and more enterprises use AI, a lot of them realize that just having large language models is not sufficient. A big problem is how to integrate business context into AI systems. Decision rules and logics in many companies are so distributed through different workflows and procedures that it becomes really hard for AI agents to come up with dependable and auditable outcomes.

On this, Alteryx is coming up with features that help companies convert their current analytics workflows into AI-enabled operational systems. Among the key additions are Agent Studio and the Alteryx One MCP Server. Agent Studio enables teams to package trusted datasets and established business logic into reusable AI agents, while MCP Server extends those agents into enterprise applications such as Microsoft Teams, Slack, and AI ecosystems including OpenAI and Claude.

Also Read: Grid Dynamics Launches AI-Native Modernization on Azure, Targeting Larger Enterprise Deals

“AI is only as good as the business logic underneath it,” said Ben Canning. “Alteryx turns the workflows your analysts already trust into the layer agents run on — so AI stops generating fast guesses and starts doing the work, the same way every time, on logic the business owns and IT can stand behind.”

In addition to that, the firm has also introduced a new desktop tool for Alteryx One platform, which has been improved with better cloud execution, connectivity, and direct access to enterprise data environments including BigQuery, Databricks, and Snowflake. Such an improvement helps to do analytics where needed and minimize data transfer and infrastructure costs.

Governance remains a central focus of the platform. Features such as automated workflow versioning, certification metadata, centralized connection management, data labeling, and approval-based workflow promotion are designed to help IT teams maintain visibility and control as AI-driven processes move into production.

“Moving from AI experimentation to real operational impact is a challenge so many organizations are facing, especially when it comes to trust,” said Joseph Pantone. “With Alteryx, we’re able to take the business logic our analysts rely on every day and turn it into governed workflows that actually power how work gets done.”

With these enhancements, Alteryx aims to help enterprises operationalize AI by embedding trusted business logic into automated workflows, enabling more consistent decision-making and scalable AI-driven outcomes across the organization.

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This release features the solution to one of the biggest pain points of data-driven enterprises: how to turn the insights into actual business success. Analytics Agents from WisdomAI don’t just show the analytics or give recommendations, but actually take the enterprise actions within the systems to directly marrying decision-making and operational execution.

With the support for more than 200 native integrations and Model Context Protocol (MCP) connectors for different data sources, the solution interacts with existing data environments of enterprises, thereby negating the need for expensive data migrations or complicated ETL processes. As a result, companies will be able not only to use their existing investments but also to open the doors to AI much more rapidly.

One important distinguishing factor is the use of WisdomAI’s Adaptive Context Engine for supplying the agents with organization-wide knowledge, business rules, and contextual information. As a result, data stays organized and uniform in all workflows, guaranteeing reliable and repeatable results from them. According to the company, this feature helps preserve data schema, format, and business context, improving accuracy in automated operations.

Also Read: Wolters Kluwer Unveils AI-Driven Enhancements to Streamline Lien and UCC Filing Processes

Another important distinguishing factor is the inclusion of enterprise-level features in the Analytics Agents, such as self-correction that allows agents to automatically detect and address issues with data consistency, deterministic results for generating consistent output regardless of multiple runs of an operation, and observability for monitoring, auditing, and analyzing an automated workflow.

To make agents easy to use, WisdomAI created an agent builder based on prompting that allows building a workflow using natural language descriptions. This system then creates all the required logic, connections, and other components automatically, allowing further adjustments through drag and drop interfaces.

“The gap between insight and action is where most analytics investments stall. Analytics Agents close it,” said Soham Mazumdar. “They reason across the data stack with enterprise context and turn analysis into outcomes automatically.”

Organizations including Trumid and PropertyFinder are already using the platform to enhance business intelligence and decision-making. According to Trumid, the technology has helped teams uncover actionable insights more quickly and deliver targeted intelligence to customer-facing employees, enabling faster and more informed engagement in dynamic market environments.

With Analytics Agents, WisdomAI aims to move enterprises beyond traditional business intelligence and toward fully autonomous, context-aware analytics operations.

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Google claims that Gemini for Science intends to empower scientists to make discoveries faster by mixing Gemini’s superior reasoning skills with the help of agentic AI systems that can access massive scientific databases, research tools, and analytical environments in real-time. The company noted that the system offers various experimental tools, AI research assistants, and “Science Skills” connecting agentic AI systems like Google Antigravity with over 30 leading databases and scientific platforms in the life sciences.

The new release demonstrates the increasing concentration of Google on developing AI machines that not only generate content but also play the role of active participants in a complicated scientific workflow. The company pointed out that significant scientific breakthroughs of the future could largely rely on general AI agents that are able to help scientists in different fields rather than on narrowly focused AI models.

Also Read: Thales Launches Imperva for Google Cloud to Strengthen Enterprise Application Security

AI Expanding Beyond Productivity Into Scientific Research

The launch of Gemini for Science reflects a broader transformation taking place across the technology industry, where AI is rapidly evolving from a productivity tool into a research and operational intelligence platform. At Google I/O 2026, Google positioned Gemini as part of what CEO Sundar Pichai described as the “agentic Gemini era,” where AI systems can reason, analyze, and autonomously interact with enterprise and scientific environments.

Gemini for Science builds on this strategy by enabling AI models to assist researchers with scientific simulations, hypothesis generation, data analysis, literature review, and research validation. Google also showcased how Gemini is being used in scientific applications such as weather forecasting and advanced world simulations.

The development signals how major technology companies are increasingly viewing scientific research as one of the next major frontiers for generative AI adoption.

Impact on the IT Industry

This Google announcement may have wide-reaching effects on the overall IT market, especially with respect to cloud computing, enterprise AI, data infrastructure, and software development. Developing AI-enabled science platforms requires heavy computation, powerful data integration solutions, and scalable cloud infrastructure, which is precisely what many technology companies are working hard on.

The increased use of AI-based research environments by enterprises and organizations is going to lead to a much higher need for HPC solutions, AI chips, machine learning infrastructure, and intelligent data orchestration. These needs may open up new prospects for technology companies like cloud providers, software vendors, semiconductor companies, and enterprise platform providers.

It should also be noted that the launch of Anthropic AI demonstrates an increasing trend towards interoperability and agency of AI ecosystems. While traditionally being considered isolated chatbots, the latest AI developments are increasingly becoming systems that can communicate directly with databases, research instruments, enterprise software, and operational systems.

Business Impact and Industry Outlook

Gemini for Science would enable organizations working in science, pharmaceuticals, biotech, health, manufacturing, and engineering industries to greatly speed up innovation cycles and make operations more efficient. With AI-driven research, companies might be able to process huge amounts of scientific data more efficiently, automate their research processes, find patterns more effectively, and reduce time needed to discover innovations.

Moreover, the emergence of this technology might make advanced research capabilities more available, enabling companies to employ conversational interfaces to utilize scientific tools and databases. Organizations of any size would be able to employ capabilities which used to require a considerable amount of computational power and specialists dedicated solely to carrying out research processes.

On the other hand, the adoption of AI for scientific research implies several potential challenges related to the accuracy, reliability, explanation, validity, IP protection, and ethical considerations related to the use of AI-powered scientific tools.

Google’s Gemini for Science launch ultimately underscores how AI is increasingly becoming embedded within the foundation of scientific research and enterprise innovation. As AI adoption accelerates, the IT industry may move toward a future where intelligent agents become central to how organizations conduct research, develop technologies, and drive business transformation.

The post Google Introduces Gemini for Science to Accelerate AI-Driven Scientific Discovery appeared first on ITDigest.

Also Read: NatWest and Endava Partner to Modernize Merchant Payments Services

The combined offering is expected to automate nearly 75% of traditional compliance workloads, including horizon scanning, gap analysis, and automated control generation, helping organizations reduce manual effort and accelerate compliance implementation. “Regulatory change management consistently ranks as one of the most resource-intensive compliance challenges across our customer community,” said Scott Whitlock, VP Global Alliances, Optro.

Read More: Optro and EY US Launch Joint Offering

The post Optro and EY US Introduce AI-Powered Regulatory Change Management Solution appeared first on ITDigest.

Microsoft reported that Azure revenue surpassed $75 billion in 2025, up 34% year-over-year, reflecting strong and accelerating enterprise migration demand. Grid Dynamics, a Microsoft Azure specialized partner with five advanced specializations, including Infra and Database Migration, is built to capture this opportunity. Through the Azure Accelerate program, Grid Dynamics clients benefit from free Microsoft deployment assistance, Azure credits, partner funding, and funded migration assessments, removing the financial and technical barriers that typically slow large-scale modernization efforts.

At the core of the offering is the GAIN Platform for SDLC: Grid Dynamics’ proprietary combination of expert human talent, AI-enabled processes and tooling, built for the scale and complexity of Fortune 1000 enterprises. This platform has been internally benchmarked to accelerate project delivery by over 30% and enables outcome-based pricing aligned directly to performance. Applied to Azure legacy modernization, it compresses migration timelines and ties Grid Dynamics pricing to outcomes, which can lead to higher delivery margins.

Also Read: Wrike Connects Governed AI To Enterprise Workflows, Now Available On OpenAI GPT Store

Grid Dynamics extends its AI delivery model to Azure, drawing on extensive expertise in application migration for Fortune 1000 companies. The GAIN Platform for SDLC includes GenAI-powered data migration automation that converts legacy SQL, pipeline orchestration, and data schemas from platforms including Teradata, Informatica, and Oracle directly to Azure-native equivalents. This reduces the manual effort that typically drives multi-year timelines and cost overruns on enterprise modernization programs.

“The introduction of our GAIN Platform for SDLC on Microsoft Azure is a pivotal moment for enterprises looking to shed technical debt and achieve cloud-native agility. By leveraging our proven AI modernization frameworks with Azure’s infrastructure, we are enabling mission-critical systems to not just migrate, but to fundamentally transform and modernize, unlocking massive innovation potential while driving down legacy costs,” said Rahul Bindlish, SVP Global Partnerships and Marketing at Grid Dynamics.

Source: BusinessWire

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Hughes joined the 8am board in 2024 and is stepping into the CEO role with a 30-year track record of scaling growth businesses across hospitality, retail, financial services, and energy. His experience spans early-stage startups through large public companies, with a consistent focus on expanding market share in competitive technology verticals through product and technology led growth, coupled with successful acquisition strategies.

Hughes most recently served as CEO of Enverus, leading the company throughout Genstar Capital’s majority ownership. From 2016 to 2024, Enverus grew revenue 6x under Jeff’s leadership, driven by software product innovation, a relentless focus on customer satisfaction and retention, and more than 20 acquisitions. Enverus grew to be the largest and fastest-growing software and data analytics provider dedicated to the energy vertical market.

“I’ve had the privilege of working alongside this 8am team as Executive Chair, and I’m excited to step more deeply into the CEO role,” said Jeff Hughes. “What excites me most is the opportunity ahead, to continue innovating on behalf of our customers and partners, to accelerate our work in AI, and to expand the reach and impact of the 8am platform for the professionals who rely on us every day. The opportunity in front of us is significant, and 8am is built to capture it. I want to thank Dru Armstrong for her leadership and for the strong foundation she has built, I’m grateful for the opportunity to build on that momentum,” Hughes added.

Also Read: Wrike Connects Governed AI To Enterprise Workflows, Now Available On OpenAI GPT Store

After nearly five years as CEO of 8am, Armstrong is stepping down after leading the Company through a period of significant growth, product expansion into software (with the acquisition of MyCase) and AI, and rebranding the company under the cohesive 8am banner. “The board and I decided it was the right time for a leadership transition and I am leaving 8am with immense pride and gratitude for what this team has accomplished together,” said Armstrong. “I’m excited to close this chapter and hand the reins to Jeff. He will do a fantastic job leading the company forward, and I look forward to cheering the team on in the years ahead.”

8am is committed to creating a seamless transition of leadership for its customers, partners, and team, and maintaining its culture of excellence.

“On behalf of the Board, we extend our sincerest gratitude to Dru for the value creation she has driven as CEO and wish her well in her next chapter. We are also delighted to welcome Jeff in his new role and convey the confidence our Board has in Jeff to continue 8am’s exceptional history of growth, innovation, and service of our customers,” said Eli Weiss, Managing Partner at Genstar Capital and Clara Jackson, Managing Director at TA Associates.

Source: BusinessWire

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The product was developed by Business Core Solutions and is meant to replace the outdated way of managing enterprise access that includes separate portals, tickets, and risk assessment tools. As companies become more reliant on collaboration platforms, the need arises to bring the governance processes closer to the actual workflows.

With Anugal IsAI, users can submit system access requests via natural language in Microsoft Teams, and managers and security professionals will be able to get recommendations from an AI as well as context regarding risk before granting or declining access. Compliance professionals will also be able to do certifications and record audit evidence straight from the workflow.

“The future of identity governance is not another approval screen. It is governed decision-making at the point of work,” said Vignesh Ganesan, Head of Product, Anugal. “Anugal IsAI brings policy, risk, context, and auditability into the environment where access decisions are already being discussed and acted on.”

Also Read: NTT DATA to Acquire WinWire to Expand Enterprise AI and Microsoft Cloud Capabilities

The platform introduces three operational modes to support varying levels of governance automation. Advisory mode provides risk analysis and remediation suggestions, while assisted mode evaluates requests against existing policies and prepares recommendations for human review. Controlled automation mode enables predefined low-risk actions such as provisioning access or revoking permissions to be completed automatically while maintaining full audit trails.

Anugal’s broader identity governance platform supports enterprise applications including SAP, Oracle, Microsoft 365, Salesforce, cloud platforms, and other SaaS environments. The firm indicated that the new Teams integration is an element of a bigger plan to integrate identity governance in collaboration systems that employees and managers are already familiar with.

While the current launch is targeted at Microsoft Teams, the firm indicated that in the coming future, the firm will expand its collaboration capabilities to other collaboration tools such as Slack and Google Workspace.

The launch comes amid increasing demand by enterprises for fast, context-based, and audit-ready identity governance in the wake of increasing complexity of the enterprise environment.

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