Last Updated on June 6, 2025 by Editor
The future of Artificial Intelligence isn’t just arriving; it’s sprinting, and AI Week #22 of 2025 (May 28 – June 3) was a blur of groundbreaking advancements. If you missed the whirlwind of AI news from this pivotal period, you’re on the verge of being left behind. From multi-million dollar AI funding rounds fueling the next wave of generative AI in video, music, and content creation, to strategic acquisitions that are fundamentally reshaping enterprise data, advertising, and even the very hardware enabling AI breakthroughs, this past week delivered seismic shifts. Dive into the most critical updates on AI innovation, AI productivity tools, and major collaborations, ensuring you stay ahead in the rapidly evolving AI revolution.
Console Secures $6.2 Million to Streamline IT Operations with AI
Console, an innovative AI company headquartered in New York, has successfully raised $6.2 million in a seed funding round led by Thrive Capital. This substantial investment is set to accelerate Console’s mission to revolutionize IT operations by automating mundane tasks and boosting efficiency for engineering and IT teams.
The funding round also saw participation from notable investors including BoxGroup, Contour Ventures, Liquid2 Ventures, Operator Partners, and Primary Venture Partners. Console’s platform leverages artificial intelligence to address the escalating complexity faced by modern IT departments, enabling teams to focus on more strategic initiatives rather than repetitive, time-consuming operations. The company, founded by CEO Michael Segal, aims to empower IT professionals by providing tools that learn from existing workflows, identify patterns, and ultimately automate routine processes, promising a significant shift towards more proactive and less reactive IT management.
Snowflake Acquires Crunchy Data for $250 Million, Enhancing Cloud Data Offerings
Snowflake, a leading cloud data platform, has announced its acquisition of Crunchy Data for approximately $250 million. This strategic move is poised to significantly bolster Snowflake’s capabilities in the cloud database market, particularly by integrating PostgreSQL expertise and services directly into its platform.
Crunchy Data, a prominent provider of open-source PostgreSQL support and services, will bring its deep expertise in relational databases and cloud-native solutions to Snowflake. This acquisition will enable Snowflake to offer a more comprehensive and versatile data solution, catering to a wider range of enterprise data needs. The integration of Crunchy Data’s technology and talent is expected to enhance Snowflake’s ability to handle diverse data workloads, improve data governance, and provide more robust support for hybrid and multi-cloud environments. This acquisition underscores the growing trend of cloud data platforms expanding their offerings to encompass specialized database technologies, aiming to provide a one-stop-shop for all data management requirements.
IBM and Roche Partner on AI-Powered Diabetes Management Solution
In a significant leap forward for diabetes care, IBM and Roche have unveiled an innovative AI-enabled solution designed to help individuals with diabetes better manage their blood sugar levels. The collaborative effort has resulted in the “Accu-Chek SmartGuide Predict” app, a cutting-edge tool that utilizes artificial intelligence to forecast glucose levels with remarkable accuracy, much like a blood sugar weather forecast.
The Accu-Chek SmartGuide Predict app integrates seamlessly with Roche’s continuous glucose monitoring (CGM) sensor, providing predictive insights to mitigate potential blood sugar fluctuations. Key AI-powered features include “Glucose Predict,” which visualizes glucose trends over the next two hours, “Low Glucose Predict,” an early warning system for potential hypoglycemic events up to 30 minutes in advance, and “Night Low Predict,” which assesses the risk of overnight hypoglycemia before bedtime. This predictive capability empowers users to make proactive therapy adjustments, reducing the burden of daily diabetes management and enhancing overall glycemic control. This partnership exemplifies the transformative potential of AI in healthcare, moving from reactive treatment to proactive, personalized care, ultimately improving the quality of life for the estimated 590 million people worldwide living with diabetes.
Microsoft Bing Integrates Free OpenAI Sora-Powered AI Video Generator on Mobile
Microsoft Bing has launched a groundbreaking new feature, integrating OpenAI’s Sora large language model to power a free AI video generator directly within its Video Creator on mobile platforms. This development marks a significant step towards democratizing access to advanced generative AI capabilities, allowing a wider user base to create high-quality videos from simple text prompts without the need for specialized software or extensive technical skills. The integration makes powerful AI video creation tools accessible to millions of smartphone users, promising to transform mobile content production.
This move positions Microsoft Bing at the forefront of AI-driven content creation, directly competing with emerging standalone AI video platforms. The free availability of Sora’s capabilities through Bing’s mobile interface is expected to spur a wave of innovation in short-form video content, user-generated media, and digital storytelling. Users can now effortlessly generate realistic and imaginative scenes, complex camera movements, and diverse characters, effectively turning text into compelling visual narratives. This strategic integration by Microsoft leverages OpenAI’s cutting-edge research to enhance user engagement and expand the utility of the Bing ecosystem.
Meta Aims for Full AI Automation in Ad Creation by 2026
Meta Platforms is setting an ambitious target to achieve full automation in ad creation by 2026, leveraging its advanced Artificial Intelligence capabilities to revolutionize the digital advertising landscape. This strategic initiative aims to empower advertisers by taking over the entire ad design and targeting process, from conceptualization to campaign execution, thereby significantly reducing manual effort and optimizing performance. The company’s vision is to enable brands to provide simple input, such as a product image and basic marketing objectives, allowing Meta’s AI to autonomously generate diverse ad creatives, personalize messaging, and identify optimal audiences across its vast network of platforms, including Facebook, Instagram, and Threads.
This aggressive push towards AI-driven ad automation is designed to enhance the effectiveness of advertising campaigns, offering unprecedented levels of personalization and efficiency. By automating the iterative process of ad creation and optimization, Meta anticipates delivering higher Return on Ad Spend (ROAS) for businesses of all sizes. The initiative underscores Meta’s deep investment in generative AI and machine learning to build a more sophisticated and autonomous advertising ecosystem, ultimately aiming to provide a seamless and highly effective solution for advertisers navigating the complex digital marketplace.
Snowflake Acquires Crunchy Data in $250 Million Deal to Bolster AI and PostgreSQL Capabilities
Cloud data platform Snowflake announced its intent to acquire Crunchy Data, a leading provider of trusted open-source PostgreSQL technology and products, for an estimated $250 million. This significant acquisition aims to enhance Snowflake’s AI Data Cloud by integrating enterprise-grade PostgreSQL capabilities, enabling developers to build and deploy secure, compliant AI agents and applications directly within the Snowflake ecosystem. Crunchy Data, founded in 2012 and headquartered in Charleston, South Carolina, is renowned for its robust PostgreSQL solutions, including its fully managed cloud service, Crunchy Bridge, and its work with federal agencies and Fortune 500 companies, bringing an impressive track record and approximately $30 million in annualized revenue to Snowflake.
The acquisition is a strategic move for Snowflake to capitalize on the increasing popularity of PostgreSQL as a foundational database for AI-driven workloads and to compete more effectively with rivals like Databricks, which recently acquired a similar PostgreSQL-focused startup for approximately $1 billion. With Crunchy Data’s expertise, Snowflake plans to launch “Snowflake Postgres,” an AI-ready, developer-friendly PostgreSQL database that will simplify data movement and facilitate more complex queries for AI applications. This move underscores Snowflake’s commitment to supporting transactional data alongside analytical workloads within its platform, addressing a substantial $35 billion market opportunity in providing comprehensive data and AI solutions for enterprises.
Character AI Elevates User Engagement with New Video Generation and Social Features
Character AI is revolutionizing its platform by introducing video generation capabilities and enhanced social feeds, transforming how users interact with its sophisticated AI chatbots. This significant update allows users to bring their AI characters to life through dynamic video content and share their creations within a more integrated community space. The addition of video generation empowers users to craft short, engaging clips featuring their custom AI personalities, adding a new dimension of creativity and expression to the platform.
The expansion of social feeds aims to foster a more vibrant and interconnected user community, enabling seamless sharing of AI-generated content, conversations, and discoveries. This strategic move is designed to boost user engagement and retention on the platform, which already boasts millions of users leveraging its conversational AI for entertainment, role-playing, and creative writing. By blending advanced generative AI with social networking features, Character AI is solidifying its position at the forefront of the AI chatbot market, offering a richer, more interactive experience for its rapidly growing user base.
Salesforce Strengthens AI Recruitment Offerings with Moonhub Acquisition
Salesforce has strategically acquired Moonhub, an innovative startup specializing in AI-powered tools for hiring, in a move to significantly enhance its recruitment solutions within its vast ecosystem. The acquisition underscores Salesforce’s commitment to embedding advanced Artificial Intelligence across its enterprise software portfolio, particularly in critical human resources and talent management functions. Moonhub’s technology leverages machine learning to automate and optimize various stages of the hiring process, from candidate sourcing and screening to interview scheduling and offer management.
This acquisition is set to integrate Moonhub’s cutting-edge AI capabilities directly into Salesforce’s existing products, offering companies a more intelligent and efficient approach to talent acquisition. By streamlining the recruitment workflow, Salesforce aims to address the growing demand for AI in HR, helping organizations reduce time-to-hire, improve candidate quality, and enhance overall recruiter productivity. While specific financial details of the acquisition were not publicly disclosed, the deal highlights Salesforce’s ongoing strategy to acquire specialized AI startups to bolster its platform’s capabilities and maintain its competitive edge in the enterprise software market.
Major Record Labels Engage in Landmark Licensing Talks with AI Music Firms
In a potentially transformative development for the music industry, major record labels including Universal Music Group, Warner Music Group, and Sony Music Entertainment are reportedly engaged in crucial licensing talks with prominent AI music firms, specifically Udio and Suno. These discussions, which gained significant traction, center on establishing frameworks for the use of copyrighted material in training generative AI models and licensing the output of AI-generated music. The labels are seeking to secure revenue streams and control over their vast catalogs as AI music technology rapidly advances, producing high-quality compositions and even vocal tracks.
These negotiations signify a pivotal moment for both the traditional music industry and the burgeoning AI music sector. For the labels, securing licensing deals is paramount to protecting intellectual property rights and monetizing new forms of music creation. For AI firms like Udio and Suno, formal agreements would provide legal clarity and access to the rich tapestry of existing music, accelerating the development and adoption of their platforms. The outcomes of these talks are expected to shape the future of AI music monetization, intellectual property guidelines, and the collaborative potential between human artists and advanced artificial intelligence in the creative domain.
Alibaba Unveils QwenLong-L1, a New AI Model Mastering Ultra-Long Context Reasoning
Alibaba’s Qwen Research team has made a significant advancement in Large Language Models (LLMs) with the release of QwenLong-L1-32B, a groundbreaking long-context reasoning model. This model distinguishes itself by effectively addressing the challenge of processing and reasoning over exceptionally lengthy text inputs, a common hurdle for current LLMs. Optimized through reinforcement learning (RL), QwenLong-L1-32B demonstrates an astonishing capability to handle context lengths of up to 130,000 tokens, far surpassing many existing models in its ability to integrate complex, multi-layered information.
In benchmark tests across seven long-context question-answering (DocQA) datasets, QwenLong-L1-32B has shown impressive performance, surpassing models like OpenAI’s o3-mini and even approaching the capabilities of Claude-3.7-Sonnet-Thinking. This AI innovation is particularly impactful for applications requiring deep analysis of extensive documents, such as financial reports, legal contracts, and academic research papers. Its technical highlights include a novel three-stage framework for progressive context scaling and a hybrid reward function that combines deterministic rule-based matching with semantic judgment, ensuring robust reasoning and precision in information-intensive environments.
Grammarly Fuels AI Productivity Platform Expansion with $1 Billion Non-Dilutive Investment
Grammarly, the popular AI writing assistant and productivity platform, has secured a substantial $1 billion in non-dilutive financing from General Catalyst’s Customer Value Fund (CVF). This unique funding arrangement allows Grammarly to significantly accelerate its growth and strategic initiatives without diluting its existing ownership structure or impacting its $13 billion valuation (last set in 2021). The capital is specifically earmarked for scaling sales and marketing efforts, pursuing strategic acquisitions, and further developing its comprehensive AI productivity platform.
This investment, one of the largest from General Catalyst’s CVF, underscores a growing trend in venture funding where mature, revenue-generating companies secure capital tied to future revenue generation. Grammarly, with over 40 million daily active users and an impressive $700 million in annual revenue with 80% gross margins, is strategically positioned to leverage this funding to expand its reach and integrate more deeply into enterprise workflows. Following its recent acquisition of Coda in January 2025, Grammarly, under CEO Shishir Mehrotra, is transforming into an AI agent platform capable of autonomously assisting users across various workplace applications, from email and slides to CRM systems, further solidifying its leadership in the AI productivity tools market.
Black Forest Labs Launches Kontext AI Models, Redefining Image Creation and Editing with Advanced Contextual Understanding
Black Forest Labs, a leading European frontier AI research lab, has introduced Kontext AI, a groundbreaking suite of AI models that seamlessly combine image generation and image editing capabilities. The FLUX.1 Kontext models are designed to understand the intricate context of both text prompts and visual inputs, enabling users to create and modify images with unprecedented precision and consistency. This innovation marks a significant leap from traditional text-to-image models by allowing targeted, instruction-based modifications while maintaining stylistic coherence and character consistency across multiple edits.
The Kontext suite includes FLUX.1 Kontext [Pro] for iterative editing workflows and FLUX.1 Kontext [Max] for maximum performance with enhanced prompt adherence and typography. These models utilize a novel flow matching architecture, which contributes to their superior speed, operating up to 8 times faster than many leading alternatives, generating high-quality images in just 3-5 seconds at 1MP resolution. Black Forest Labs also introduced the “BFL Playground,” a browser-based demo environment for businesses to evaluate the models, and plans to release a lightweight, open-weights variant, FLUX.1 Kontext [Dev], for research. This development promises to revolutionize generative media, offering powerful tools for creators, developers, and enterprises to bring their imaginative visions to life with greater control and efficiency.
Odyssey Unveils Groundbreaking AI Model for Real-Time Interactive Video Environments
London-based AI lab Odyssey has introduced a revolutionary AI model that transforms traditional video content into interactive 3D worlds, redefining the future of storytelling and digital experiences. Launched as a research preview, this cutting-edge model allows users to explore and influence video scenes in real-time using various inputs like keyboards, controllers, or even voice commands. Odyssey likens the experience to an “early version of the Holodeck,” where the underlying AI generates realistic video frames every 40 milliseconds, enabling near-instantaneous responses to user interactions.
Unlike conventional CGI or game engines, Odyssey’s system is powered by a “world model,” which dynamically predicts subsequent frames based on user actions and past inputs, creating a more organic and less scripted experience. This AI innovation has vast potential applications across entertainment, training, education, and virtual travel, offering immersive, user-driven digital environments. The development of this technology, which operates on clusters of H100 GPUs and costs approximately £0.80 to £1.60 ($1-$2) per user-hour, highlights a significant step towards accessible and scalable AI-powered interactive media, promising to reshape how we engage with visual content.
Perplexity Labs Unleashes AI Power for Automated Data Analysis and Visualization
Perplexity, the leading AI-powered search engine, has unveiled Perplexity Labs, a powerful new suite of tools designed to autonomously generate spreadsheets, dashboards, and comprehensive reports from raw data. Launched for Perplexity Pro subscribers, this innovation expands Perplexity’s capabilities beyond simple question-answering, positioning it as a robust AI productivity tool for researchers, analysts, and businesses seeking efficient data insights. Perplexity Labs leverages advanced generative AI to conduct deep web research, execute self-made code, and present findings in visually compelling formats like charts and dynamic dashboards.
The new feature, accessible via web, iOS, and Android platforms (with Mac and Windows apps planned), aims to drastically reduce the time and effort typically required for data analysis and reporting. Perplexity claims that Labs can accomplish in 10 minutes what would previously take “days of work, tedious research, and coordination of many different skills.” This strategic expansion into AI-driven data generation aligns with Perplexity’s rapid growth, as the company is reportedly negotiating a $500 million funding round at a $14 billion valuation. By offering specialized functionality for data synthesis and visualization, Perplexity is solidifying its position in the competitive AI market, attracting users who require more than just search capabilities for their data-intensive tasks.
NYT and Amazon Forge Groundbreaking AI Content Licensing Partnership
The New York Times Company has entered into a multi-year AI licensing agreement with Amazon, marking a pivotal moment in the media industry’s engagement with Artificial Intelligence. This landmark deal permits Amazon to utilize The Times’ extensive editorial content, including articles from The New York Times, NYT Cooking, and The Athletic, for both AI model training and real-time display within its various AI-powered services like Alexa. This partnership is significant, especially given The New York Times’ ongoing copyright infringement lawsuits against other AI companies, notably OpenAI and Microsoft, for unauthorized content usage.
While the financial terms of the agreement were not disclosed, the deal signifies a strategic shift for The New York Times, demonstrating a willingness to monetize its high-quality journalism through formal licensing arrangements rather than relying solely on litigation. The agreement will allow Amazon to present summaries and short excerpts of Times content, providing direct links to the full articles for a more comprehensive user experience. This collaboration not only expands the reach of Times journalism but also sets a precedent for how major publishers might engage with tech giants to ensure fair compensation and control over their intellectual property in the rapidly evolving AI content landscape.
Buildots Secures $45 Million in Series D Funding to Scale AI-Powered Construction Management
Buildots, a leading Israeli startup leveraging Artificial Intelligence and computer vision for construction project management, has successfully closed a $45 million Series D funding round. This investment, led by Qumra Capital with participation from OG Venture Partners, TLV Partners, Poalim Equity, Future Energy Ventures, and Viola Growth, brings Buildots’ total funding to $166 million. The capital infusion is set to significantly expand the company’s platform capabilities, particularly in predictive analytics, aiming to cut project delays by up to 50% and unlock substantial cost savings in an industry often plagued by inefficiencies.
Buildots’ innovative platform utilizes 360-degree camera footage collected from construction sites, processed by proprietary AI models, to provide real-time insights into project progress, quality assurance, and potential risks. The company boasts triple-digit revenue growth and plans to quadruple its North American presence in 2025, building on its client base that includes major contractors like The Turner Corp., STO Building Group Inc., and Intel, which uses Buildots to boost operational efficiency in its global semiconductor fab construction program. This funding solidifies Buildots’ position as a transformative force in construction technology, enabling a shift from reactive to proactive project management and helping the industry unlock billions in operational gains.
AMD Strengthens AI Hardware Portfolio with Strategic Acquisition of Silicon Photonics Innovator Enosemi
Advanced Micro Devices (AMD) announced the acquisition of Enosemi, a promising silicon photonics startup. While the financial terms of the deal were not disclosed, this strategic move is aimed at significantly bolstering AMD’s capabilities in high-performance interconnect solutions, crucial for the demands of next-generation AI systems. Enosemi, founded in 2023 in Silicon Valley, specializes in photonic integrated circuits (PICs) and co-packaged optics solutions, which enable faster and more energy-efficient data movement within data centers compared to traditional copper-based connections.
Enosemi had previously collaborated with AMD as an external development partner, demonstrating its unique ability to build and ship photonic integrated circuits in volume. This acquisition is a direct response to the escalating need for more efficient data communication as AI models grow in complexity and size. By integrating Enosemi’s elite team and their expertise in silicon photonics, AMD aims to strengthen its position as a provider of full-stack AI solutions, from CPUs and GPUs to networking silicon. This move intensifies AMD’s competition with Nvidia in the burgeoning AI hardware market, allowing AMD to innovate at the system level and address the critical performance and scalability needs of tomorrow’s AI infrastructure.
Context Raises $11 Million Seed Round to Build Revolutionary AI-Native Office Productivity Suite
Context, a promising startup, has announced the successful completion of an $11 million seed funding round at a $70 million valuation to build what it describes as the “first true AI-native office suite.” The funding was led by Lux Capital, with participation from Qualcomm Ventures and General Catalyst, bringing Context’s total raised to approximately $15.75 million. This capital injection will fuel the development and public launch of its platform in June, aiming to fundamentally transform knowledge work by automating mundane tasks and enhancing productivity.
Founded in 2024 by Thiel Fellow Joseph Semrai, Context’s proprietary “Context Engine” excels at processing long contexts of over 50 million tokens without intelligence degradation, enabling users to effortlessly generate near-final documents, presentations, and spreadsheets from notes or data. The suite emphasizes security and compliance, offering local deployment across web, desktop, and mobile environments, a critical feature for enterprises and government agencies. Context is also strategically partnered with Qualcomm, optimizing its suite for Qualcomm’s cutting-edge NPUs to unlock secure, agentic productivity experiences directly on-device, positioning itself at the forefront of the AI productivity tools market in the era of intelligent computing.
Rillet Fuels Financial Automation with $25 Million from Sequoia for AI-Powered General Ledger
Rillet, a New York-based AI-native ERP platform, has successfully raised $25 million in a Series A funding round led by Sequoia Capital. This significant investment, which follows a $13.5 million seed and pre-seed round, will accelerate Rillet’s mission to automate general ledger systems for mid-sized companies, drastically reducing the time required for financial reporting from weeks to mere hours. The funding round also saw participation from existing investors First Round Capital, Creandum, and Susa Ventures, alongside angel investors including former NetSuite CFO Ron Gill.
Rillet, founded in 2021 by Nicolas Kopp and Stelios Modes, leverages machine learning and generative AI to streamline core accounting workflows, such as accruals, reconciliations, and board reporting. The platform integrates seamlessly with various business tools like Salesforce, Stripe, Ramp, Brex, and Rippling, automatically ingesting data and generating essential financial statements. In less than a year since its product launch, Rillet has achieved a fivefold increase in revenue and secured nearly 200 customers, including high-growth firms like Windsurf and Decagon. This AI innovation directly competes with legacy systems like NetSuite, offering a faster and more efficient alternative in the rapidly evolving financial technology landscape.
xAI’s Grok AI to Reach All Telegram Users in $300 Million Integration Deal
xAI, Elon Musk’s artificial intelligence company, is set to integrate its flagship Grok AI chatbot directly into the Telegram messaging platform through a substantial $300 million deal. Announced by Telegram CEO Pavel Durov, the agreement involves a combination of cash and equity, with xAI also committing to a 50% revenue-sharing arrangement from Grok subscriptions purchased via the Telegram app. This one-year partnership aims to democratize access to advanced AI capabilities for Telegram’s vast user base, estimated to be over 1 billion worldwide.
The integration will see Grok prominently featured within Telegram’s interface, allowing users to interact with the AI assistant directly from chat interfaces and the search bar. Grok’s features will include real-time chat summaries, document analysis, group chat moderation, and assistance with message composition. This strategic collaboration is expected to significantly enhance user experience on Telegram, positioning the platform at the forefront of AI-powered messaging. The deal also strengthens Telegram’s financial position, creating a new revenue stream while challenging established AI giants like Google’s Gemini and Microsoft/OpenAI’s ChatGPT by offering a less filtered and more provocative AI interaction model.
Opera Neon Unveiled: The AI-Powered Browser that Codes Websites and Generates Games
Opera has unveiled Opera Neon, a groundbreaking AI-powered web browser that transcends traditional Browse by offering the ability to autonomously code websites and generate games. Opera Neon is designed to redefine user interaction with the internet, integrating advanced Artificial Intelligence agents directly into the Browse experience to automate complex web tasks with simple text prompts. The browser features three primary AI-driven functions: “Chat” for conversational searches, “Do” for automating routine tasks like form-filling, and “Make” for generating creative outputs.
The “Make” feature is particularly revolutionary, enabling users to generate full websites, games, code snippets, and reports by simply describing their requirements. These tasks are processed via cloud-based virtual machines, allowing Neon to operate independently, even when the user is offline. Building on Opera’s existing AI initiatives, including the Aria assistant and Browser Operator, Neon prioritizes user privacy by processing sensitive data locally on the device. While currently accessible via a waitlist and planned for a premium subscription model, Opera Neon represents a significant step towards agentic AI Browse, aiming to make web development and content creation accessible to a broader audience without requiring coding expertise.
Salesforce to Acquire Informatica for $8 Billion, Forging a Robust AI Data Empire
Salesforce, the global leader in CRM, has announced its intent to acquire Informatica, a prominent provider of enterprise AI-powered cloud data management, in a landmark deal valued at approximately $8 billion in equity value. The definitive agreement will see Informatica shareholders receive $25 in cash per share. This strategic acquisition aims to significantly strengthen Salesforce’s “AI Data Cloud” and establish the most comprehensive, agent-ready data platform in the industry.
The combination of Informatica’s extensive data catalog, data integration, governance, quality, privacy, and metadata management capabilities with the Salesforce platform is set to create a unified architecture for agentic AI. This will enable AI agents to operate safely, responsibly, and at scale across entire organizations, addressing critical challenges related to data transparency, understanding, and governance in enterprise AI deployment. Marc Benioff, Chair and CEO of Salesforce, highlighted that the integration of Informatica’s CLAIRE AI engine with Salesforce’s Einstein will supercharge platforms like Agentforce, Data Cloud, Tableau, MuleSoft, and Customer 360, positioning Salesforce to lead the rapidly expanding market for trusted, explainable, and scalable AI solutions that unlock the full value of enterprise data.
As Artificial Intelligence continues its unprecedented expansion, the groundbreaking innovations and strategic moves of AI Week #22 offer a clear glimpse into the future. Don’t miss out on what’s next in this rapidly evolving landscape; be sure to check back next week for all the essential AI news and updates as the AI revolution accelerates.
