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Citigroup AI agent pilot underway for 5,000 workers

Citigroup AI agent pilot underway for 5,000 workers

Citigroup CEO Jane Frasier said the bank has launched a pilot of AI agents for 5,000 employees. The agentic AI pilot is designed to complete multi-step tasks with a single prompt.

Frasier, speaking on the company's third quarter earnings call, said the pilot launched in September. In September, Citigroup announced that Citi Stylus Workspaces, a proprietary AI platform now uses agentic AI and is integrated with various systems. Citigroup leverages Google Cloud and its Gemini models, Vertex AI and Anthropic's Claude models. Citigroup and Google Cloud announced a strategic partnership a year ago and the banking giant presented at Google Cloud Next earlier this year.

"The early results are very promising and we'll expand access to this in the months ahead," said Fraser. "We have launched a firm-wide effort to systematically embed AI in our processes end-to-end to drive further efficiencies, reduce risk and improve client experience."

Citigroup will outline the next phase of its technology and AI transformation at an investor day in 2026, but Fraser said two-thirds of the company has been revamped.

"As we simplify, we continue to invest in technology to catalyze our transformation and become a more agile and modern bank. We have been relentless in our execution, and it is creating results. Over two-thirds of our transformation programs are at or are close to our target stage, and we're making very good progress in the remaining areas," said Fraser.

Citigroup is using its productivity gains and technology returns to self-fund investments in transformation, AI and technology.

A few examples of the transformation and AI usage include:

  • Nearly 180,000 employees in 83 countries have access to Citigroup's proprietary AI tools and have used them 7 million times this year. "These tools save hours each day by automating routine work, analyzing data and creating materials in minutes instead of hours," said Fraser.
  • Citigroup is using AI to resolve client queries faster. In the wealth group, advisers are receiving AI-driven insights to deliver personalized advice.
  • AI-driven automated code reviews have been used more than 1 million times this year to improve developer productivity. Fraser said the automated code reviews have created 100,000 hours of weekly developer capacity.
  • Citigroup has retired or replaced 384 applications so far in 2025.

The other takeaway is that the AI transformation is never complete. Fraser added that "there is still so much upside left for us to capture."

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Goldman Sachs eyes next AI transformation from position of strength

Goldman Sachs eyes next AI transformation from position of strength

Goldman Sachs CEO David Solomon said the company has launched an initiative dubbed One Goldman Sachs 3.0, which will leverage AI to create a centralized operating model that's more efficient and drive growth.

Speaking on Goldman Sachs fiscal third quarter results, Solomon said:

"This is a multiyear effort that we will build over time, and we plan to measure our progress across 6 goals: enhancing client experience, improving profitability, driving productivity and efficiency, strengthening resilience and capacity to scale, enriching the employee experience and bolstering risk management."

To start the effort, Solomon said the company is looking at a handful of "front-to-back work streams that can significantly benefit from AI-driven process reengineering and will help inform our longer-term approach."

Use case priorities will revolve around sales enablement and client onboarding that directly impact the client experience, lending processes, regulatory reporting and vendor management.

Solomon said the company will provide a deeper update in January.

CFO Denis Coleman said the company has a nice tailwind with a rebound in IPOs and a better regulatory environment. "We are focused on efficiency and leveraging AI to meaningfully transform the firm. And this is all in the context of an improving regulatory backdrop, which should allow us to be on offense as we deploy resources and service of our clients," said Coleman.

Solomon said Goldman Sachs would rather take on more AI transformation efforts as it is operating from a position of strength. "I'm talking to CEOs all over the world and businesses are focused on this because the technology actually allows you to take a fresh look front to back at certain operating processes and really reimagine," said Solomon. "Obviously, the firm is performing. The firm is growing. We feel very good about the execution, but we see this as an opportunity to use technology to automate, drive scale, create efficiency and actually give us the capacity to invest more in the growth of our business."

According to Solomon, AI transformation from a position of strength could become a common refrain from enterprises. He said:

"I think you're going to hear this from lots of companies and lots of industries that people are very focused on taking advantage of this acceleration in technology to really allow automation, efficiency and therefore, investment. This is one of the reasons why we're optimistic about the forward, the productivity gains in the economy from enterprises are going to be very meaningful over the next few years, and that creates a good tailwind that will balance other macro factors that may or may not come into play."

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Salesforce CEO Benioff: Context is king

Salesforce CEO Benioff: Context is king

To Salesforce CEO Marc Benioff context is king and without it agentic AI won't deliver.

In a Dreamforce keynote that highlighted Salesforce's large enterprise Agentforce adopters, Benioff repeatedly came back to context and context engineering, a term that's just gaining some momentum from companies like Elastic and Workday.

"AI alone is not enough. It's not enough just have an LLM. It needs (Agentforce) capabilities to connect it, to give it the context, to give it the guardrails, and all of the critical pieces," said Benioff.

The argument for Agentforce, according to Benioff and a bevy of Salesforce executives, is that you need the customer data, the ability to navigate unstructured and structured information, and trust to bring context to every conversation.

Dreamforce coverage:

Benioff in a keynote that highlighted Agentforce adoption at Williams Sonoma, Pandora, PepsiCo, FedEx and Dell referred to context repeatedly as Salesforce highlighted its foray into new markets, notably ITSM, supply chain and other use cases.

Agentforce 360 has a feature called Intelligent Context, which provides AI agents the ability to navigate multiple content types to pull data across documents, tables, diagrams and much of the dark data in an enterprise.

In demos, Agentforce powered agents for Williams Sonoma and Pandora were able to pick up where conversations left off and give context based on available customer data. Knowing that context led to

Williams Sonoma CEO Laura Albert said Agentforce is powering the company's Olive AI agent and the goal is to make the digital retail channels as personable as the physical stores. "We do 70% of our business online, but can you imagine if the websites give you the same warm feeling you get from the stores," said Albert.

A FedEx demo highlighted the uploading of a 200 page PDF and how it could be read and parsed into data to give Agentforce agents context for a correct answer.

FedEx has been honing its data game for years and has recently been outlining how it's going to leverage its data and metadata into logistic intelligence services. Richard Smith, Chief Operating Officer of FedEx International and CEO of FedEx Airline, noted that metadata about the package is as important as the package. He added that Agentforce was helping its sales team close more business.

PepsiCo was also highlighted as an Agentforce adopter and Athina Kanioura, Chief Strategy and Transformation Officer at PepsiCo, said the company "will be agentic-first by the end of 2026 connecting all operations, processes and the way we strategies, do innovation, commercialization and execution," she said. "We are all about profitable growth."

Indeed, PepsiCo on its most recent earnings call noted that it has to plan for a revamped distribution model that is less about retail and more about digital channels. PepsiCo will need more context, insights and automation to manage through the changing landscape. Enterprises start to harvest AI-driven exponential efficiency efforts

Michael Dell, CEO of Dell Technology, said the company is using Agentforce on multiple fronts as well as the supply chain. Dell said agentic AI is tied at the hip with process automation.

"We start with the big things, go through the process of simplifying, standardizing it and then reimagining it then applying the technology," said Dell. "Automation of the workflow and the processes ultimately give more time back to those people that are doing things super valuable to us as a company."

 

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Miro aims to smooth out AI, human collaboration

Miro aims to smooth out AI, human collaboration

Miro, which provides a visual workspace so teams can collaborate on projects, is looking to ease collaboration between AI and humans. The problem? AI has created "single player AI experiences" that can disrupt collaborative teamwork because people are in silos.

The company at its Canvas 2025 event outlined a series of updates to its platform to integrate AI into collaborative workspaces to create shared context. In a demo, Jeff Chow, Chief Product and Technology Officer, walked through how AI can be integrated into workflows on a visual canvas and run scenarios and create. Miro plays in a growing category of applications called digital canvases and competes with companies like Figjam, Mural, Stormboard and Lucid Software. In the broader collaborative product development space, Miro faces a larger mix of competitors ranging from Asana, Atlassian, Figma, GitHub, Pendo, Zoho and others.

What Miro is trying to solve is a collaboration flow where individuals work with AI agents in isolation and then return to teams with different context and conclusion. That state of affairs hampers team alignment, noted Chow.

"Our innovation workspace is really built to help support the full innovation process, from insight, discovery, definition of solutions and helping teams collaborate all the way through to delivery," said Chow, who added teams are moving beyond brainstorming to more use cases via blueprints, or templated boards for workflows.

Chow added that Miro initially focused on human to human collaboration, but AI needs to be included in the mix. He said:

"What if you put AI where teamwork was actually happening, so that AI could be supporting people when and where they collaborate? We really believe the best place for that is the canvas, because the canvas is a great surface to bring together teams and AI. It's visual. It helps mirror how teams communicate and think, and it also creates a shared context layer for AI, because it has all of those artifacts from the cross functional group. It's a place where everyone feels at home."

Miro's software has a visual theme that revolves around clustered sticky notes, voting patterns and mind map notes. Miro has more than 100 million users and customers include Red Hat, GitHub, NFL, PayPal and Warner Bros. Discovery.

Miro's platform updates include:

  • Enhanced Sidekicks, which are Miro's chat-based AI agents. Sidekicks will get contextual understanding and are more integrated into creative flows.
  • Flows, which are automation designed to eliminate "record scratch moments" that break a team's flow.
  • Visual Context Processing, which allows AI to understand spatial relationships on a canvas. Typically, AI processes text and misses visual collaboration cues.
  • Support for all major large language models, integration with corporate knowledge systems and a Model Context Protocol server to work with platforms like Cursor and GitHub Copilot.

The upshot from Miro's updates is that the company is looking to keep collaboration, AI and context in the same place without switching between apps.

Here's an example of how AI and humans come together within Miro.

As for use cases, Miro's updates cover multiple fronts.

  • Product team lifecycle including synthesizing customer insights, design critiques and technical specification generation.
  • Workflow automation use cases including product brief creation from brainstorming sessions and process automation across multiple boards.
  • Enterprise use cases where teams are prototyping loyalty program apps.

Miro is also branching out into line of business teams with Miro for Product Acceleration. The offering targets product design, engineering, and operations. Today, 60% of Miro's customer base is in product engineering or design, but the company is focused on product teams across a lifecycle.

"We are looking to help product teams with this whole idea of connecting strategy and goals to day to day execution. If you think about the accelerated work that product teams are doing today, and how AI is changing a lot of that, we see that it's challenging for leaders to make sure that the strategy work," said Chow.

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Oracle AI World 2025: Autonomous AI Lakehouse, AI Data Platform launched

Oracle AI World 2025: Autonomous AI Lakehouse, AI Data Platform launched

Oracle launched Oracle Autonomous AI Lakehouse and AI Data Platform as it extends its database dominance into broader AI platform ambitions.

The news, which was announced at Oracle AI World in Las Vegas, highlights Oracle's long game, according to Constellation Research analyst Michael Ni. For the Oracle Autonomous AI Lakehouse, Oracle is looking to unlock multiple clouds and formats for existing customers rather than migrate enterprises.

"This is Oracle’s long game in motion: turn every database into an AI engine and every AI engine into an autonomous decision platform. For customers, it means less stitching, less tuning, and faster time from insight to action," said Ni.

For the Oracle Data Platform, Ni said Oracle is positioning itself for the time when enterprises grow weary of stitching together platforms. "Oracle’s timing is classic: let competitors burn cash in the early AI arms race, then crash the party when customers demand ROI and compliance. As the market pivots from experimentation to operational AI, buyers are tired of stitching tools and policing governance," said Ni. "Oracle's unified data and agentic platform is positioned for that consolidation wave where control finally matters as much as compute."

Here's a look at what Oracle announced at Oracle AI World.

Oracle Autonomous AI Lakehouse

Oracle announced Oracle Autonomous AI Lakehouse in a move that combines Oracle's Autonomous AI Database with Apache Iceberg so data can flow seamlessly for analytics and AI.

In addition, Oracle launched Autonomous Data Catalog, which aims to be a "catalog of catalogs" that can combine enterprise data and metadata across other catalogs and platforms. Oracle added that its Data Lake Accelerator can speed up large-scale queries across Iceberg tables by scaling networking and compute capacity to Autonomous AI Database.

Key points:

  • Oracle Autonomous AI Lakehouse will have native support for Apache Iceberg and will integrate catalogs from Databricks Unity, AWS Glue and Snowflake Polaris.
  • The offering includes Select AI, which provides natural language-to-SQL and AI agent frameworks.
  • Oracle's AI Vector Search is available to process Iceberg tables.
  • Oracle Autonomous AI Lakehouse is available on Oracle Cloud Infrastructure, AWS, Microsoft Azure, Google Cloud and Exadata Cloud@Customer.
  • Autonomous AI Database Catalog provides a unified view of data assets across multiple systems and clouds.
  • Oracle Autonomous AI Lakehouse includes Select AI Agent, which provides customers a framework to build, deploy and manage AI agents in Oracle Autonomous AI Database, as well as a Data Science Agent and plug and play SQL access.

Ni said:

"Oracle’s Lakehouse didn’t appear overnight. It’s the convergence of its autonomous database, Iceberg support, and AI Select stack over two years. What's new is the parts operate as a single, self-managing AI fabric.

Under the hood, Oracle’s Lakehouse still runs on its Autonomous Data Warehouse (ADW). What is new is that the operating model has evolved. By fusing Iceberg, AI agents, and self-managing performance into ADW, Oracle has turned its warehouse into a full lakehouse runtime.

Databricks built speed. Snowflake built scale. Oracle’s building staying power fast-following the market, weaving lakehouse behavior into its existing autonomous database, and native AI capabilities. Showing up late doesn’t matter if you outlast everyone with an autonomous architecture that runs itself."

Oracle AI Data Platform

According to Oracle, AI Data Platform is designed to connect models with enterprise data, applications and workflows. The goal is to combine data ingestion, vector indexing, semantic enrichment and AI tools to help enterprises scale.

The AI Data Platform combines Oracle Cloud Infrastructure, Autonomous AI Database and its generative AI services. AI Data Platform runs on Nvidia GPUs.

Key points:

  • Oracle AI Data Platform can be used to create data lakehouses with open formats such as Delta Lake and Iceberg.
  • The company said Oracle AI Data Platform has a unified view and governance across all data and assets.
  • Oracle AI Data Platform supports Agent2Agent and Model Context Protocol.
  • Oracle AI Data Platform includes Agent Hub, which is an abstraction layer for managing agents.
  • Zero-ETL and Zero Copy features are included in Oracle AI Data Platform, which is multi-cloud.
  • Oracle AI Data Platform will be integrated into all major Oracle application suites via pre-built integrations.
  • Global systems integrators including Accenture, KPMG, PwC and Cognizant said they will invest support resources for Oracle AI Data Platform.

Oracle Cloud Infrastructure

Oracle Cloud Infrastructure (OCI) outlined an expanded partnership with AMD, new networking capabilities, multicloud universal credits and a Zettascale10 Cluster.

Here's a look:

  • Oracle said it will be a launch partner for the first publicly available supercluster powered by AMD Instinct MI450 Series GPUs. The initial deployment will have 50,000 GPUs starting in the third quarter of 2026 and expanding in future years. OCI launched instances powered by AMD Instinct MI300X GPUs in 2024 and is adding AMD Instinct MI355X GPUs in its zettascale OCI Supercluster. OCI is using AMD's Helios rack design that includes AMD's integrated AI stack.
  • The company said Oracle Acceleron, OCI's suite of network software and architecture, will get a dedicated fabric network architecture, multi-planar networking, converged NIC and zero-trust packet routing.
  • OCI will get multicloud universal credits, which will give customers a cross-cloud consumption model to buy Oracle AI Database and OCI services on any cloud. For customers, the move will help procurement and give enterprises flexible terms and consistent contracts across AWS, Google Cloud, Microsoft Azure, and OCI.
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Salesforce expands OpenAI, Anthropic partnerships, eyes Agentforce everywhere

Salesforce expands OpenAI, Anthropic partnerships, eyes Agentforce everywhere

Salesforce expanded partnerships with OpenAI and Anthropic to embed their large language models into Agentforce 360.

At Dreamforce 2025, Salesforce said it has expanded a partnership with OpenAI so customers can access Agentforce 360 in ChatGPT. Salesforce customers will be able to access sales records, review conversations and build Tableau visualizations from within ChatGPT.

For Salesforce, which is betting on Slack as an agentic OS and front end to Agentforce, the OpenAI partnership appears to be a nice hedge to play into whatever the new enterprise user interface exists. For OpenAI, the Salesforce partnership lands a big enterprise software vendor for its application strategy. At OpenAI Dev Day, CEO Sam Altman walked through APIs and a strategy that brings various apps to ChatGPT. Most of the applications demonstrated were decidedly consumer.

In a statement, Salesforce said its customers will be able to use GPT-5 to build AI agents and prompts within the Salesforce Platform. For Salesforce, the move highlights how its platform can be headless. Salesforce also sees its partnership with OpenAI as a way to enable its retail customers to sell more.

Salesforce noted that the partnership with OpenAI gives it a big footprint with ChatGPT's 800 million weekly users and Slack's 5.2 billion weekly messages. The goal: Embed Salesforce in a "preferred surface environment."

Altman said the Salesforce partnership is "an important step in how AI can improve daily workflows under our efforts together." Salesforce CEO Marc Benioff said the partnership brings the instant recommendations or insights consumers expect to enterprises.

Integrations include:

  • Agentforce 360 apps in ChatGPT.
  • Instant Checkout and Agentforce Commerce, via Agentic Commerce Protocol, will be integrated. Salesforce is supporting Agentic Commerce Protocol via a partnership with Stripe.
  • ChatGPT in Slack, which will bolster search results and insights.
  • Codex, an OpenAI agent for coding, will be available in Slack.
  • OpenAI's models will be in Agentforce 360.
  • OpenAI will join a host of providers such as Anthropic in Slack Marketplace.

The Anthropic partnership is focused on regulated industries. Under an expanded partnership, Anthropic's Claude will be available in Agentforce for regulated industries that need tighter data control.

In addition, Claude will be integrated into Slack for enterprise workflows. Claude will analyze documents, access internal data and enable decisions without app switching.

Salesforce is providing the trust layer and customers such as CrowdStrike and RBC Wealth Management are using Claude through Amazon Bedrock in Agentforce.

Key points about the Salesforce-Anthropic partnership:

  • Claude can be a preferred AI model provider for regulated industries.
  • Anthropic and Salesforce will work on industry specific offerings for regulated industries.
  • Anthropic is the first LLM vendor to be fully integrated within Salesforce's trust layer. All of Claude's traffic is contained in Salesforce's virtual private cloud.
  • Anthropic Claude for Financial Services with Agentforce Financial Services and AI agents can work across platforms.

For Salesforce, the Anthropic offering meets enterprises where they are. Anthropic is the enterprise choice in many cases and has a strategy that more aligned with enterprise software. By adding Anthropic to its trust layer, Salesforce is giving the LLM provider more enterprise scale while offering tight integration that benefits both companies.

 

 

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Nvidia DGX Spark now available for $3,999, but real impact will be AI at the edge

Nvidia DGX Spark now available for $3,999, but real impact will be AI at the edge

Nvidia's DGX Spark mini supercomputer is now available for $3,999 from Nvidia and PC makers such as Acer, ASUS, Dell Technologies, GIGABYTE, HPI, Lenovo and MSI and it'll be interesting to see how impacts inference and physical AI plans.

DGX Spark’s sales will kick off Wednesday at Nvidia and partners. DGX Spark launched in March after being introduced as Project Digits at CES 2025. The system, basically a supercomputer in a mini-desktop form factor, is aimed at developers. The idea was that developers would use DGX Spark to develop and run models locally and then upload them to the cloud for production.

The reality is there will be plenty of DGX Spark buyers who want to say they have a supercomputer even though they won't be useful for everyday tasks.

For Nvidia, the launch of DGX Spark is a way to highlight the power of its stack. DGX Spark is built on Nvidia Grace Blackwell architecture and integrates the company's GPUs, CPUs, networking and software libraries.

In other words, DGX Spark may be handy for inference at the edge and physical AI. DGX Spark has a petaflop of AI performance, 128GB of unified memory and the ability to run inference with up to 200 billion parameters.

For all the hubbub of Nvidia CEO Jensen Huang delivering the first DGX Spark system to Space-X's Elon Musk, the real impact will likely be at the edge. A few thoughts:

  • DGX Spark has more power than Nvidia's 2016 DGX-1 system from 2016 with a much lower price and power profile.
  • The system has Nvidia's AI software stack preinstalled, which will only solidify the company's dominance in AI applications.
  • Nvidia said early DGX Spark customers are validating and optimizing tools for the system.
  • The real impact of DGX Spark will come from enterprise deployments at the edge. Can DGX Spark be hardened for the manufacturing floor, supply chain and other less hospitable places? Most likely.
  • Robotics use cases were cited by Nvidia in a blog post.
  • Ultimately, DGX Spark's impact is likely to be seen in physical AI.

For now, it'll be interesting just to see how sales go. DGX Spark systems will be available for sale Oct. 15.

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Amazon Bedrock AgentCore generally available

Amazon Bedrock AgentCore generally available

Amazon Web Services said Amazon Bedrock AgentCore is generally available and said the AgentCore software development kit has seen more than 1 million downloads from customers.

AgentCore is the latest entry into the agentic AI platform race. Google Cloud launched Gemini Enterprise, which absorbs what used to be Agentspace. Salesforce outlined Agentforce 360, the fourth version of Agentforce in 12 months. Those agentic AI platforms landed in recent days, but there are multiple vendors such as ServiceNow, Boomi and UiPath all looking to be the management layer for AI agents.

What AWS is hoping to do with AgentCore, initially outlined at AWS Summit New York, is provide a horizontal stack that can enable customers to deploy, operate and secure AI agents with all the necessary building blocks such as tools, memory, data and workflows. AWS considers AgentCore to be a key platform for operationalizing AI agents.

By operating horizontally, AWS sees AI agents as a natural extension to its Bedrock platform, which provides model choices.

In a recent briefing, AWS noted that AgentCore is designed to give enterprises the flexibility to start with any model or agent framework. Early customers include Cox Automotive, Druva, Cohere Health, Ericsson, Sony and Thomson Reuters to name a few. AWS has also surrounded AgentCore with big partners such as Accenture, Deloitte and Salesforce.

Key points about AgentCore include:

  • AgentCore includes composable services that can be used together or independently.
  • The platform supports multiple AI agent frameworks such as CrewAI, Google ADK, LangGraph, LlamaIndex, OpenAI Agents SDK and Strands Agents and models on Amazon Bedrok, OpenAI or Gemini.
  • AgentCore includes AgentCore Code Interpreter, AgentCore Browser and AgentCore Gateway, which takes existing APIs and AWS Lambda functions and makes them agent friendly tools with connections to third-party data and Model Context Protocol servers.
  • AWS has also added AgentCore Identity, which provides authentication and authorization for AI agents.
  • Dashboards and tracking is provided via AgentCore Observability, which integrates with various monitoring tools.
  • AgentCore Runtime automatically scales agent workloads and security so each agent session has its own isolated computing environment. AgentCore supports virtual private cloud deployments.

According to AWS, the goal of AgentCore is to get from pilot to production faster in a way that is secure with little friction for developers.

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OpenAI, Broadcom outline custom AI accelerator, networking deal

OpenAI, Broadcom outline custom AI accelerator, networking deal

OpenAI will design its own AI accelerators and chips in deal with Broadcom that will start in the second half of 2026 and run through 2029.

According to the companies, the deal covers 10 gigawatts of custom AI accelerators. OpenAI has forged partnerships with AMD and Nvidia as it builds out its infrastructure.

OpenAI and Broadcom will co-develop systems that include custom accelerators and Ethernet networking. These racks will be built using Broadcom components. The rationale behind the partnership is that OpenAI can better optimize its own stack. OpenAI is following the hyperscale cloud playbook for AI that includes big doses of Nvidia as well as custom-made GPUs such as Google's TPUs and AWS' Trainium.

The news isn't a big surprise given that Broadcom noted the strength of its pipeline on its most recent earnings call. It was widely assumed that OpenAI was the key customer.

OpenAI CEO Sam Altman said "developing our own accelerators adds to the broader ecosystem of partners all building the capacity required to push the frontier of AI."

Broadcom said that the OpenAI racks will include its portfolio of Ethernet, PCIe and optical connectivity as well as custom accelerators.

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Salesforce makes its Agentforce 360 case to be your AI agent platform

Salesforce makes its Agentforce 360 case to be your AI agent platform

Salesforce announced a series of product updates, a process intelligence acquisition and an Agentforce 360 architecture designed to make the case that it should orchestrate first and third party AI agents.

At Dreamforce 2025, Salesforce looked to differentiate itself from what's becoming a crowded agentic AI platform space. The cloud giants are looking to go horizontal with stacks to build, deploy and optimize AI agents. SaaS vendors are expanding into managing AI agents beyond their verticals. There's a set of neutral platforms such as Boomi and UiPath. And everyone is trying to layer process intelligence into the agentic AI stack via tuck-in acquisitions.

If Dreamforce 2024 was that coming out proof-of-concept party for Agentforce, Dreamforce 2025 is about production and scale with Agentforce 360. The challenge for customers is piecing together the barrage of news announcements and product updates and sorting through the keynote flash to understand the big picture. The Agentforce pacing is brisk with four iterations in 12 months.

"What we want to see is that all companies become agentic enterprises," said Parker Harris, co-founder of Salesforce and CTO of Slack. "We're entering a world where it's going to be humans and AI working together. It's the biggest transition in technology I've ever experienced."

Harris, who sets the technical vision for Salesforce, would know. He helped start the SaaS transition and has been through the mobile and social shifts.

Here are some of the big Salesforce themes to note.

Agentforce 360 expands Salesforce's reach from CRM

Salesforce announced a unified agentic AI stack that is now called Agentforce 360, which includes Agentforce Platform, Data 360, Customer 360 Apps and Slack. The general idea is to connect humans, AI agents, apps and data across the entire enterprise.

Srini Tallapragada, President and Chief Engineering and Customer Success Officer, said the goal with Agentforce is to ensure that AI isn't disconnected from context. "Agentforce 360 is a deeply unified platform," he said. "We don't want customers stuck in what I call the pilot bucket. What we had to solve is to ensure that AI is not disconnected from context."

If this approach sounds familiar, it's because multiple vendors are trying it. Salesforce and ServiceNow appear to be on a collision course. You don't have to look farther than ServiceNow's foray into CRM and Agentforce IT Service to realize the two vendors are rivals. The main thing to note is that the Salesforce and ServiceNow have plenty of joint customers and CRM and ITSM both remain fragmented enough for both to grow while talking smack.

Agentforce 360 includes the following:

  • Hybrid Reasoning Engine. Within Atlas, Salesforce is providing a deterministic control system called Agent Script. The goal here is to provide predictable agent behavior while keeping the creativity. The Hybrid Reasoning Engine will be in beta in November and provide customers the ability to build via natural language or code.
  • A revamped Agentforce Builder, which will be in beta in November. Agentforce Builder will provide predictable logic, a conversational build and test loop and a natural language approach.
  • Agentforce Studio and Agent Observability close the loop to create what Salesforce hopes is a continuous agent improvement flywheel.
  • Voice integration. Agentforce 360 includes seamless voice capabilities to hand off calls between AI agents and humans.
  • Context engineering with the ability to process unstructured data as well as structured.
  • Multi-agent orchestration. MuleSoft becomes the Agent Fabric that can govern and coordinate multiple agents including those from third parties.
  • Apps for multiple verticals and use cases.
  • Informatica will fit into this mix on the data front when Salesforce's acquisition closes. Informatica's role in the Agentforce stack: Turn enterprise data into a searchable catalog as Data Cloud activates data, MuleSoft connects any system and Tableau is an insights engine.

Of those news items, it's worth noting that Salesforce is trying to thread the needle between predictability, which is an enterprise must-have, and creativity, a customer must have. By controlling AI agent behavior, Salesforce is trying to give enterprises the ability to provide a unified brand voice and customer experience as AI agents and humans run a CX relay race.

Perhaps the biggest takeaway is that Salesforce has noted that its platform can be headless across channels and run in the background.

Holger Mueller, an analyst at Constellation Research, said:

"While it's competitors are working on single products and second versions, Salesforce has a suite of AI offerings available for customers with it's typical 360 brand. All of this is another data point on how Salesforce has a lead of one or two years over its key competitors."

Real returns and value

Salesforce highlighted a series of customers deploying Agentforce, provided returns and walked through the production process.

Yes, Salesforce spent a good amount of time detailing its success as its first customer. Salesforce internally handles 4.8 million customer conversations across multiple channels.

Salesforce also has a year's worth of deployments under its belt. The company has developed blueprints for enterprises deploying AI agents to move to production faster. Salesforce said it has more than 200 agentic industry workflows across 15 industries such as automotive, communications, consumer goods, manufacturing, public sector and retail.

CIOs will be more interested in hearing from the parade of customers. DirecTV saved 300,000 hours through Agentforce, Under Armour doubled case deflection rates, Williams Sonoma uses AI agents for personalized interior design and Heathrow Airport deployed an AI agent to improve customer experiences.

Salesforce also noted that Agentforce can work across multiple verticals including manufacturing where Eaton saw a 71% reduction in cost per service call.

Salesforce also noted that it has landed enterprises that are standardizing on Agentforce. For instance, Salesforce said Vonage is using Agentforce for its platform as is Statista and Reddit.

Here are a few customer vignettes from a Dreamforce briefing call:

  • Indeed's Lisa West, Vice President of Automation at the job listing site, said the company went with Agentforce because it was heavily invested in the Salesforce platform. "We have so much rich context inside of the Salesforce ecosystem so it was quite natural to add agents to that," said West.
  • Peter Burns, Director of Marketing, Digital and E-commerce at Heathrow Airport, used Agentforce to create Hallie, a personal customer agent. Heathrow uses Salesforce's platform for its customer contact center. Burns said Heathrow uses Agentforce to provide a simple interface to a complicated technical ecosystem. "We think about creating experiences in the front and back of house. In the back of house, Agentforce and Salesforce power our customer center. Agentforce helps answer and manage those conversations," said Burns. "Hallie was launched as a customer-facing agent that answers questions and manages more of your bookings. We have more than 80 million passengers and as much as we want to individually hold their hands through Heathrow, it's not practically possible. Hallie and Agentforce allow us to effectively scale personalized customer experience."
  • Sameer Hassan, Chief Technology and Digital Officer at Williams Sonoma, said the retailer is homing in on using Agentforce to create personalized agents focused on interior decorating and design. Hassan said AI agents were initially seen as a productivity play, but evolved into tools that could drive growth. "Yes, we're seeing the efficiency gains, and yes, we are automating the repetitive task, but AI is actually amplifying that creative and strategic work that our people are doing," said Hassan. "When you equip brilliant minds with this kind of technology, we are actually seeing better strategic and creative outcomes from folks whether it's product development, supply chain, merchandising, photography and visualization or technology. It's also about amplifying your people."

Slack as an "agentic OS"

One of Salesforce's unique approaches to Agentforce and AI agents is that it is betting Slack can be the front end to all Salesforce applications.

"Slack is not only becoming the front-end of Salesforce and Work 360, but it's becoming your agentic OS where you can search, collaborate and act across all the people in your organization, data and connect with agents," said Parker. "We're reimagining Salesforce and Slack. Maybe you don't log in to Salesforce or even see it, but it's there. It's coming to you in Slack because that's where you're getting your work done with native AI and enterprise AI search. Then you can unify your entire enterprise in one agentic OS and bring in other AI agents."

This strategic bet on Slack comes as OpenAI is betting ChatGPT can be the front end of all applications, ServiceNow is using its AIx approach with a similar conversational UI and Workday bought Sana to do something similar.

Add it up and there's an industry-wide bet that the ChatGPT interface and multi-model LLM approach will be the entry point into all applications.

If Slack winds up being that agentic OS to enterprise AI, Salesforce will be differentiated. Perhaps OpenAI will be that OS for consumers and Salesforce will happily take the enterprise AI agent OS turf.

Parker said that Slack will connect easily with OpenAI, Google and multiple partners via Model Context Protocol (MCP). Slack AgentExchange will be available in the fourth quarter with Slack personal agent landing in the first quarter and agentic search will be in pilot in January.

Slack will get:

  • Slack-first Apps such as Agentforce sales, service, ITSM and HR.
  • An agent with always-on expertise.
  • Enterprise search.
  • A reimagined Slackbot that’s context aware.
  • Multiple integrations via MCP.

 

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