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Think 2026: IBM Delivers the Blueprint for the AI Operating Model as the AI Divide Widens

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Next-generation agent orchestration and agentic development give enterprises a unified way to plan, build, deploy, and govern AI agents at scaleReal-time, AI-ready data foundation gives enterprises the governed, connected information agents need to act with speed AI-powered hybrid cloud management connects infrastructure, security, and operations across hybrid environmentsBuilt-in governance and sovereignty controls let enterprises run AI at scale

BOSTON, May 5, 2026 /PRNewswire/ — Today, at its annual Think conference, IBM (NYSE: IBM) announced its most comprehensive expansion of enterprise AI and hybrid cloud management capabilities to date. Products and capabilities unveiled today include the next generation of IBM watsonx Orchestrate for multi-agent orchestration, IBM Confluent to bring real-time data to AI, IBM Concert platform for intelligent operations, and IBM Sovereign Core for operational independence.

The announcements address the defining challenge facing enterprises: many have invested heavily in AI, but only few believe it is paying off. The products and capabilities unveiled today address this gap for enterprises.

“The enterprises pulling ahead are not deploying more AI – they’re redesigning how their business operates,” said Arvind Krishna, Chairman and CEO, IBM. “Running AI in the enterprise requires a new operating model, and IBM is enabling organizations to manage AI-driven systems with the same rigor, governance, and scale as their most critical infrastructure.”

A New Operating Model for the Agentic Enterprise
AI requires a new operating model, built on four integrated systems working together: agents through coordinated AI that executes and adapts across the business; data through real-time, connected information that gives teams a shared view of what’s happening; automation through end-to-end infrastructure and automated workflows that scale across processes; and hybrid through operational independence for sovereignty, governance, and security that allows AI to run consistently and with controls. Each is a separate priority that enterprises are chasing. Together, they represent a fundamental shift from improving parts of the business to changing how the business operates. Today’s announcements represent the next evolution of IBM’s portfolio, to deliver against the operating model.

Agents: Orchestration and Development at Scale
As organizations move from deploying a handful of agents to managing thousands, built by different teams on different platforms, the core challenge shifts from building agents to keep them governed and auditable in near real time.

IBM is announcing the next generation of watsonx Orchestrate (available in private preview), evolving it into an agentic control plane for the multi-agent era, where organizations can deploy agents from any source with consistent policy enforcement and accountability.

Alongside watsonx Orchestrate, IBM recently announced:

IBM Bob (generally available), an agentic development partner designed for the enterprise, partners with developers to build agents with security and cost controls built in.

Data: AI-Ready Foundation
For most enterprises, data is siloed and without meaning. To effectively power agentic systems with up-to-date data, IBM is delivering, real-time, AI-ready data foundation through its recent acquisition of Confluent for real-time data streaming built on Kafka and Flink technologies, and pairing new capabilities coming to watsonx.data with a real-time context layer for AI.

Additional announcements include:

Context in watsonx.data (available in private preview) extends watsonx.data with an open, federated context layer that makes enterprise AI reason reliably over business data — applying semantic meaning, enforcing governance at runtime, and making decisions explainable. Featuring new capabilities including context, OpenRAG, and OpenSearch on watsonx.data, and Confluent’s Real-Time Context Engine.Confluent and Tableflow integration with watsonx.data (generally available) and Confluent and Flink integrations with watsonx.data deliver unified AI and analytics across all data, connecting real-time event streaming with batch workloads across the hybrid enterprise.watsonx.data GPU-accelerated Presto (available in private preview) showed the potential to significantly reduce the cost of running certain workloads and processing time on large enterprise datasets in internal benchmark testing with NVIDIA. In a proof of concept with Nestlé, the engine delivered 83% cost savings and an overall 30x price-performance improvement on a global data mart spanning 186 countries.IBM Z Database Assistant (available in private preview) gives Db2 and IMS database administrators an AI-powered workspace to monitor performance, automate routine tasks, and optimize configurations across complex IBM Z environments.HCP Terraform powered by Infragraph (available in public preview) delivers unified infrastructure visibility through a centralized, event-driven knowledge graph by connecting data across cloud environments, infrastructure-as-code workflows, security tooling, and operations platforms to help streamline operations and automate remediation.

Automation: Intelligent Infrastructure Operations
Running AI at the core of the business can make infrastructure exponentially more complex, and most enterprises are managing that complexity through fragmented tools, siloed teams, and humans serving as the connective layer between systems that were never designed to work together.

IBM is announcing IBM Concert platform (available in public preview), an AI-powered operations platform to move organizations from passive monitoring to coordinated, intelligent response. Where traditional tools capture metrics, the Concert platform brings systems together. It correlates signals together into a single view across applications, infrastructure, network, without requiring organizations to rip and replace existing tooling.

Concert delivers this through three interconnected capabilities: cross-domain understanding to eliminate silos and surface what matters most; context-driven decisions that correlate signals across risk and dependencies, so teams act from a shared, clear view; and coordinated execution that moves organizations from insight to action with built-in governance and human oversight.

The threat landscape is changing— AI can now identify and exploit vulnerabilities in hours, not days. IBM Concert Secure Coder (available in public preview) addresses this by embedding security management directly into the developer workflow. Available in IBM Bob and VS Code, it identifies and prioritizes risks as code is written, and can generate automatic remediations to fix vulnerable code, or patch OS, middleware, packages and images. This makes security continuous and proactive and can help identify vulnerabilities before they are exploited.

Additional announcements include:

HCP Terraform powered by Infragraph (available in public preview) transforms infrastructure into a live, intelligent system with real-time visibility and context-aware automation across the infrastructure lifecycle.IBM Vault 2.0 (generally available) introduces AI-driven analysis of leaked secrets for rapid triage, dynamic short-lived credentials across major cloud providers, and automated secrets rotation to reduce credential sprawl.IBM zSecure Secret Manager (planned availability June 2026) brings enhanced security automation to RACF mainframe environments, integrating with IBM Vault Self-Managed for IBM Z and LinuxONE to streamline certificate lifecycle management.

Hybrid: Operational Sovereignty
AI embedded into the core of business means it operates in the most sensitive and complex environments: regulated data, critical infrastructure, cross-border jurisdictions. For those contexts, compliance cannot be a configuration choice.

IBM is announcing the general availability of IBM Sovereign Core, a platform that embeds policy at the infrastructure runtime level, so governance can be addressed as regulatory requirements evolve, while prioritizing workload portability. IBM Sovereign Core includes an extensible catalog that organizations can curate for their own users, with their own applications, or populated with pre-vetted IBM, third-party and open-source software and services from an ecosystem of partners that includes: AMD, ATOS, Cegeka, Cloudera, Dell, Elastic, HCL, Intel, Mistral, MongoDB and Palo Alto Networks.

Built on open, enterprise-grade technologies like Red Hat OpenShift and Red Hat AI, IBM Sovereign Core enables organizations to extend existing investments across hybrid and partner environments.

Supporting Materials:
Blog: Manage all your AI agents in one place with watsonx Orchestrate
Blog: Shifting from AI-assisted coding to AI-assisted delivery with IBM Bob
Blog: Real-time context for AI across hybrid environments
Blog: Introducing GPU acceleration for IBM watsonx.data
Blog: IBM Data Gate for Confluent: Turning Z data into real-time action
Blog: IBM Z Database Assistant brings intelligent operations for the AI era
Blog: Introducing IBM Concert platform: Closing the gap between insight and action
Blog: Announcing IBM Concert Secure Coder: Bringing security to the moment code is written
Blog: Introducing HCP Terraform powered by Infragraph: Now in public preview
Blog: Vault Enterprise 2.0 modernizes identity security at scale
Blog: Introducing IBM zSecure Secret Manager: Bringing automated certificate lifecycle management to IBM z/OS
Blog: IBM Sovereign Core creates AI-ready sovereign environments with verifiable control

Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.

Examples presented are illustrative only. Actual results will vary based on client configurations and conditions and, therefore, generally expected results cannot be provided.

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service.

Visit www.ibm.com for more information.

Media contact:

Kate Lehman
IBM
Kate.Lehman@ibm.com

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Introhive Makes Relationship Intelligence Available to Enterprise AI Through MCP

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Now generally available to all Introhive customers, the standards-based connection brings continuously updated relationship context into compatible AI assistants.

FREDERICTON, NB, Aug. 25, 2026 /PRNewswire/ — Introhive today announced the general availability of its MCP (Model Context Protocol) Server for all customers. The Introhive MCP Server gives firms a standardized way to connect their relationship intelligence to their AI infrastructure. Professionals can then query that intelligence directly, without switching systems or performing manual lookups, and without needing IT to build custom integrations.

Centralizing enterprise data is only part of the work. For firms building their own AI tools, the difficulty often emerges after the initial connection. Activity data must still be resolved to the correct people and companies, evaluated for relationship strength and recency, and kept current as interactions change. Without that work, an AI tool can be technically connected and still provide poor guidance. Introhive has built and continuously maintains that relationship-intelligence layer. The MCP Server makes it available to compatible AI assistants, agents, and internally developed applications.

Ask which contacts at an upcoming event are worth prioritizing. Find out which key account has gone quiet. Surface which colleague has the warmest path into a new client or expanded opportunity. Or help a firm’s own AI tool assess whether a proposed client introduction is actually warranted — instead of guessing from CRM fields nobody has updated in months.

Most firms are deploying AI without access to one of their most valuable assets: the context around firm-wide relationships. The signals exist across emails, calendars, contact histories and individual experience. Raw activity alone cannot tell an AI tool whether it has identified the correct person, how strong or current a relationship is, or who within the firm has the most credible path forward.

The Introhive MCP Server Advantage

For more than 14 years, Introhive has refined its approach to capturing, validating, and scoring those relationship signals. The platform goes beyond who knows whom; it evaluates factors including the recency, frequency, reciprocity, breadth, and depth of interactions across the firm, then organizes them into a continuously updated, firm-wide relationship graph.

Because MCP is an open standard, firms using the MCP Server can make the same relationship-intelligence layer available to multiple compatible tools rather than rebuilding a separate connection each time their AI environment changes. Unlike a custom API that locks relationship intelligence to a single tool, the MCP Server is model-agnostic by design: the graph doesn’t depend on which AI assistant wins next year, because it was never built into just one of them.

AI Can’t Drive Growth Without Relationship Context

As AI assistants become a more common interface for professional work, the quality of their answers increasingly depends on the intelligence underneath them. For professional services firms, relationships are central to winning new business, expanding client work and protecting important accounts.

The shift toward AI does not reduce the value of those relationships. It raises the cost of not having accurate relationship context available when growth decisions are made.

“I’ve watched enterprise technology evolve since the 1990s, but the shift now underway is more fundamental,” said Lee Blakemore, CEO of Introhive. “The way professionals interact with data and systems has been revolutionized, and the interface is wherever the professional happens to work, which means the intelligence layers underneath it create the value. Relationship intelligence is one of those foundational layers. A meaningful AI strategy must tap into the strength, reach, and trajectory of client relationships. Introhive’s MCP Server provides a secure, compliant, and portable way to make that intelligence available to compatible AI tools at the moment it’s needed. For organizations adopting AI responsibly, this is the infrastructure that helps them do so securely.”

Availability

The Introhive MCP Server is now generally available to all Introhive customers, expanding beyond the legal-sector commercial preview introduced in April 2026.

For more information, visit https://www.introhive.com/introhive-mcp/.

About Introhive

Introhive is the Relationship Intelligence Platform purpose-built for legal, accounting, consulting and built-environment firms. Introhive automatically captures, enriches and activates relationship data, turning emails, meetings and interactions into measurable relationship capital: the collective value of every client, prospective client, alumni and referral relationship across the firm.

Because that data is captured continuously and kept current without manual effort, Introhive gives professionals and AI tools the reliable, timely context they need to identify the right connections and support firm growth. Introhive is trusted by 20 of the world’s top 100 law firms and 36 of the top 100 accounting firms, with users in more than 90 countries.

For more information, visit https://www.introhive.com/.

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SOURCE Introhive

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Fins Adds Benzinga’s Premium US Equities Newsfeed to Power FinScores

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Premium US Equities Newsfeed gives Fins’ AI engine faster, higher-quality signal

DETROIT, Aug. 25, 2026 /PRNewswire/ — Benzinga, a leading provider of real-time financial news and market intelligence, today announced that Fins has added Benzinga’s Premium US Equities Newsfeed to its platform.

Fins is built around surfacing the market-moving signal inside the news noise. A fast, high-quality equities newsfeed is the raw fuel for that engine, giving Fins sharper and faster FinScores. Each FinScore assigns a numeric, ticker-specific score to a news event’s likely market impact, paired with AI-generated reasoning and tracked against real price movement after the news breaks.

The addition reflects Benzinga’s broader mission to democratize financial information, putting institutional-grade market intelligence directly into the hands of everyday investors. Fins represents a new generation of AI-native apps built on that same idea.

“Retail investors don’t only want more news. They want to know which headlines actually matter,” said Michael Saad, AI Licensing Lead at Benzinga. “Fins is built around that idea, and we’re glad to be the newsfeed powering it.”

“The best investment decisions begin with trusted information,” said Mehmet Kağan Aydoğan, Founder & CEO of Fins. “At Fins, our mission is to become the trusted destination for reliable financial news. Our partnership with Benzinga enables us to deliver high-quality financial news, while Fins provides the context that helps investors understand why each story matters.”

Benzinga’s Premium US Equities Newsfeed delivers fast, high-quality coverage across U.S. equities, giving platforms like Fins the raw material to build sharper analysis and scoring tools on top of real-time market data.

About Benzinga

Benzinga is a leading financial media and data technology company that empowers investors with high-quality, real-time market intelligence. Through its news platform, APIs, and data products, Benzinga provides traders, financial institutions, and fintech platforms with the insights they need to make smarter investment decisions. From breaking news and analyst ratings to corporate events and alternative datasets, Benzinga’s tools help market participants stay ahead of the information that drives price movement.

To learn more, visit benzinga.com/apis.

About Fins

Fins is an AI-driven financial intelligence platform that helps investors understand not just what is happening in the markets, but why it matters. By combining trusted financial news with AI-powered event classification and the mathematical FinScore Engine, Fins transforms complex market information into clear, actionable insights. Instead of simply aggregating headlines, Fins identifies the companies affected, classifies each event into standardized market categories and evaluates its potential market relevance through a transparent mathematical scoring model. With personalized news feeds, real-time alerts and contextual analysis, Fins enables investors to make faster, more informed decisions with confidence.

To learn more, visit fins.news.

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SOURCE Benzinga

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Amity Global Research Hub Launches in New York to Boost India-US Innovation

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The Amity Global Research Hub (AGRH) is a multidisciplinary international platform established by Amity University to foster world-class research collaboration, innovation, entrepreneurship, technology commercialization, and policy engagement across global ecosystems. AGRH enables collaborative research that addresses pressing global challenges while creating opportunities for scientific discovery, economic development, and societal transformation.

NEW YORK, Aug. 25, 2026 /PRNewswire/ — In a significant step towards strengthening India–United States collaboration in science, technology and innovation, the Amity Global Research Hub (AGRH) was inaugurated at the Consulate General of India, New York, on August 21, 2026, under the theme “Shaping the Future through Emerging Technologies.”

Amity Global Research Hub Launched in New York to Strengthen India–US Research and Innovation Partnerships

The launch marks the beginning of an international research platform envisioned to bring together academic institutions, researchers, industry, innovators and other stakeholders from India, the United States and the wider global ecosystem. The initiative aims to facilitate collaborative research, promote knowledge exchange and create new pathways for innovation and technology-led solutions to global challenges.

The inauguration also witnessed the unveiling of the AGRH website and research brochure, followed by panel discussions focusing on multi-sector partnerships, research, innovation, emerging technologies, and opportunities for strengthening India–US collaboration. The discussions brought together distinguished representatives and academic and research stakeholders from institutions including Rutgers University, Georgia Institute of Technology, CUNY, Long Island University, Albert Einstein College of Medicine and the National Cancer Institute.

Speaking on the occasion, Dr. Aseem Chauhan, Chancellor, Amity University and Chairman, AGRH, highlighted the importance of creating globally connected research ecosystems that can address increasingly complex technological and societal challenges. AGRH is envisioned as more than an international academic presence. It seeks to function as a bridge connecting the research strengths, talent and innovation capabilities of India with the extensive academic, scientific, technological and entrepreneurial ecosystem of the United States.

The initiative comes at a time when emerging technologies are rapidly transforming economies and societies, creating both new opportunities and complex challenges. Technologies such as artificial intelligence, quantum technologies, advanced materials, biotechnology, healthcare technologies, cybersecurity, space technologies and clean and sustainable technologies increasingly require interdisciplinary and international collaboration.

Dr. Sandeep Mittan Director Amity Global Research Hub & Vice President Research and Development highlighted how AGRH will serve as a platform to foster international research partnerships and advance innovation through collaboration between India and the United States. This initiative will be the creation of opportunities for young researchers, students and innovators to participate in international research networks.

AGRH aims to contribute to this process by facilitating interactions among researchers and institutions and supporting opportunities for knowledge exchange and collaborative engagement. The Hub’s broader vision is to create meaningful opportunities not only for established researchers but also for emerging scientists, innovators and entrepreneurs.

The establishment of AGRH in New York provides access to one of the world’s most diverse and dynamic ecosystems of universities, research institutions, technology companies, healthcare organizations, investors, start-ups and global talent. This environment provides significant opportunities for building connections between Indian researchers and their counterparts in the United States. The launch event itself reflected this potential, bringing together representatives from leading American academic and research institutions for discussions around collaborative research and innovation.

Prof. (Dr.) W. Selvamurthy, President, Amity Science, Technology & Innovation Foundation, emphasized the importance of collaboration in shaping the next generation of research and innovation. The multidisciplinary approach of AGRH is particularly significant as many of today’s major challenges cut across traditional academic boundaries. Addressing issues related to health, climate change, energy, advanced manufacturing, digital technologies and national and global security requires researchers from multiple disciplines to work together. The Hub therefore aims to facilitate an ecosystem in which ideas can move from research and discovery to innovation, technology development and societal impact.

Strengthening the India-US Knowledge Partnership : The launch of AGRH also comes against the backdrop of the expanding strategic relationship between India and the United States in science, technology, education and innovation. The initiative’s emphasis on multi-sector partnerships is particularly significant. Rather than limiting collaboration to academic institutions, AGRH aims to create connections involving research organizations, industry, innovators, entrepreneurs and other stakeholders.

The inauguration of AGRH represents an important milestone in Amity’s continued efforts to expand its international research partnerships and strengthen collaboration between India and the United States. The long-term ambition is to develop AGRH into a platform where global research partnerships can generate tangible outcomes-ranging from collaborative research and knowledge exchange to technology development, innovation, entrepreneurship and opportunities for the next generation of researchers.

With its launch in New York, the Amity Global Research Hub seeks to position itself at this intersection-connecting India’s growing research and innovation capabilities with global opportunities, and contributing to a future shaped by collaboration, technology and knowledge.

Learn more about Amity Global Research Hub at https://amity.edu/agrh/

Dr. Sandeep Mittan, PhD , FAHA

Director Amity Global Research Hub

Vice President Research and Development

Amity Education Group Long Island Campus, New York

500 Montauk Hwy, Oakdale, NY 11769

Executive Board Member New Jersey Academy of Science (NJAS), New Jersey

Research Scholar – National Institute of Health-NIH,MD 20892

Email : smittan@amity.edu

M: +16467023447

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SOURCE Amity University

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