Apple experienced its third consecutive quarter of declining sales in Q2, with a 1.4 percent slip to revenue of $81.8 billion. But the Cupertino-based company managed to generate record performance in its Services division, up 8.2 percent to $21.21 billion. Sales of the company’s largest device segment, iPhones, underperformed estimates with $39.7 billion in sales, a 2.4 percent dip year-over-year. Overall, however, Apple slightly overperformed Wall Street expectations, which were forecast at $81.64 billion for the quarter ending in June. For Q2, Apple reported 1 billion paid subscriptions — including Apple Music, Apple TV+ and third-party apps. Continue reading Apple’s Sales Decline Tempered by Record for Services Arm

This week, Meta Platforms released Llama 2, the next generation of its open-source large language model that is free for research and commercial use. Llama 2’s pretrained and fine-tuned language models are available in sizes ranging from 7 to 70 billion parameters. Meta also named Microsoft Azure its “preferred partner for Llama 2,” offering it through the Azure AI model catalog for use with cloud-native tools that leverage content filtering and safety features. Meta says Llama 2 is “also optimized to run locally on Windows,” providing developers a seamless workflow across enterprise and consumer platforms. Continue reading Meta Unveils Llama 2 LLM with Microsoft as Preferred Partner

The Biden administration has issued an implementation framework for its National Cybersecurity Strategy, detailing how the federal government plans to regulate digital security issues. The highly anticipated document lists more than 65 initiatives for executing the “five pillars” of the March 2023 U.S. National Cybersecurity Strategy, described as a “bold, affirmative vision for cyberspace.” The implementation takes a two-pronged approach: empowering capable actors who can bear more of the security responsibility, and the need for incentives that facilitate investment in long-term resilience. Continue reading White House Releases Plan for Cybersecurity Implementation

Bozeman, Montana-based DaaS firm Snowflake has partnered with Nvidia to let clients customize LLMs (large language models) using proprietary data in the Snowflake Data Cloud. Nvidia’s NeMo platform and GPU-accelerated computing will power the effort to tailor models to specific business use cases, such as chatbots with category expertise as opposed to generalists, search engines attuned to context or generative text deep knowledge. Since most companies are eager to harness brand-specific AI without having to build a model from scratch, this category of service is generating a lot of interest. Continue reading Nvidia’s NeMo Delivers AI Customization to Snowflake Cloud

Based on the premise that it is impractical to deploy an all-purpose LLM for specific use cases, a group of researchers from Google, Baidu, DeepMind and Meta founded Reka AI in July 2022. A year later the company has emerged from stealth mode with news of $58 million in Series A funding led by DST Global and Radical Ventures. Strategic partner Snowflake Ventures also participated, along with angel investor Nat Friedman, former CEO of GitHub. The Sunnyvale, California-based startup says it is building “enterprise-grade state-of-the-art AI assistants for everyone, regardless of language and culture.” Continue reading Reka AI Raises $58 Million to Customize LLMs for Enterprise

Amazon Web Services (AWS) is investing $100 million to fund a global AI accelerator, aiming to link its machine learning initiatives with experts, customers and partners worldwide. Twilio, Highspot, Lonely Planet and Ryanair are among the first companies to get onboard with the AWS Generative AI Innovation Center to develop new applications. “Through free workshops, engagements and training, AWS will help customers imagine and scope the use cases that will create the greatest value for their businesses, based on best practices and industry expertise,” the company explains. Continue reading AWS Invests $100 Million in Generative AI Innovation Center

IBM and Adobe are expanding their partnership to help enterprise clients accelerate their content supply chains using artificial intelligence including Adobe Sensei GenAI, released in March, and Adobe Firefly, now in beta, as well as Adobe’s generative AI models. IBM says it will create a portfolio of Adobe-specific consulting services. Leveraging Adobe’s AI solutions and IBM Consulting services, the companies aim to “help clients build an integrated content supply chain ecosystem that drives collaboration, optimizes creativity, increases speed, automates tasks and enhances stakeholders’ visibility across design and creative projects.” Continue reading IBM and Adobe Advance AI Content Workflow for Enterprise

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have introduced a computer vision system that combines image recognition and image generation technology into one training model instead of two. The result, MAGE (short for MAsked Generative Encoder) holds promise for a wide variety of use cases and is expected to reduce costs through unified training, according to the team. “To the best of our knowledge, this is the first model that achieves close to state-of-the-art results for both tasks using the same data and training paradigm,” the researchers said. Continue reading MAGE AI Unifies Generative and Recognition Image Training

Snorkel AI is offering new capabilities to help companies curate and prep data for generative artificial intelligence. Formed in 2015, Snorkel AI has been developing software for data-centric AI. Its best known product is Snorkel Flow, which helps enterprise clients build and deploy AI applications efficiently using programmatic labeling to automate the process of creating training data for AI models. Now Snorkel AI’s Foundation Model Data Platform is going beyond programmatic labeling with two new core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data. Continue reading Snorkel AI Debuts Products for Model Training, Development

Salesforce has launched AI Cloud, adding generative AI across all its sales, service, marketing, commerce and IT tools. The AI Cloud suite for enterprise is built around Einstein, which Salesforce says is the first AI for CRM, and its new Einstein GPT Trust Layer, designed to deter large-language models from retaining sensitive customer data. “This separation of sensitive data from the LLM will help customers maintain data governance controls while still leveraging the immense potential of generative AI,” Salesforce says. The AI Cloud platform integrates Salesforce tools including Data Cloud, Flow, MuleSoft and Tableau and works with third party apps. Continue reading Salesforce Debuts ‘AI Cloud’ Turnkey Generative Tools Suite

Following nine months of difficult repositioning that included layoffs and consolidation as Meta Platforms segued to its “year of efficiency,” CEO Mark Zuckerberg recently shared his plans for the company’s future with employees at an all-hands meeting. In a discussion that has been reported as an effort to help bolster staff morale during this challenging period, Zuckerberg explained his strategy regarding job cuts, offered insight on the tech giant’s approach to artificial intelligence, and took a swipe at Apple’s upcoming Vision Pro mixed reality headset while talking about his goals for VR and the metaverse. Continue reading Zuckerberg Shares Meta Strategy with Staff After Rocky Year

Nvidia CEO Jensen Huang’s keynote at Computex Taipei marked the official launch of the company’s Grace Hopper Superchip, a breakthrough in accelerated processing, designed for giant-scale AI and high-performance computing applications. Huang also raised the curtain on Nvidia’s new supercomputer, the DGX GH200, which connects 256 Hopper chips into a single data-center-sized GPU with 144 terabytes of scalable shared memory to build massive AI models at the enterprise level. Google, Meta and Microsoft are among the first in line to gain access to the DGX GH200, positioned as “a blueprint for future hyperscale generative AI infrastructure.” Continue reading Nvidia Announces a Wide Range of AI Initiatives at Computex

With artificial intelligence development dating back to the 1950s, IBM was clearly ahead of its time. The company has quietly built a commercial portfolio, with more than 100 million customers across 20 industries using its Watson suite, the company says. At its annual Think conference, the company unboxed IBM Watsonx, a next-generation platform that leverages the scale and scope of foundation models to provide custom solutions for data-driven clients. Described as an “enterprise studio for AI builders,” Watsonx is an end-to-end framework that combines the tools, infrastructure and consulting expertise corporations can use to onboard AI. Continue reading IBM Bows Watsonx Suite of Enterprise AI Products, Services

OpenAI is readying ChatGPT Business, a new subscription tier “for professionals who need more control over their data as well as enterprises seeking to manage their end users.” Pricing plans have yet to be disclosed for ChatGPT Business, which will be rolling out in the coming months, but OpenAI said it will adhere to the company’s API’s data usage policies, which means that by default end users’ data would not be used to train its models. The business plan was mentioned as part of an announcement disclosing that all ChatGPT users now have the ability to turn off their chat history. Continue reading OpenAI Previews ChatGPT Business, Unveils Privacy Controls

Generative AI has become a buzzword in the business community, resulting in 65 percent of executives in a recent KPMG survey saying they believe the technology will have a high or extremely high impact on their organization in the next three to five years. Yet most say they are unprepared for immediate adoption, with 60 percent estimating they are 12 to 24 months from implementing their first generative AI solution. Fewer than half of respondents say they have the right technology, talent, and governance in place to successfully implement generative AI. Continue reading Enterprise Anticipates AI Impact but Few Execs Are Prepared