- Recent technological advancements have made it possible to run AI models on devices, known as edge AI.
- Engineers from Carnegie Mellon University, University of Washington, Shanghai Jiao Tong University, and OctoML have collaborated to run large language models on smartphones, PCs, and browsers.
- If this research can be implemented in everyday use, it could greatly expand the applications of generative AI.
- Currently, most AI models run in the cloud, requiring users to rent servers from providers like Azure, AWS, and Google.
- The ability to run AI models on devices could potentially reduce costs and increase accessibility for users.
Microsoft and Epic are expanding their strategic collaboration to bring generative AI technologies to the healthcare industry, aiming to address urgent needs such as workforce burnout and staffing shortages and enhance patient care and operational efficiency within the Epic electronic health record ecosystem.
OpenAI has introduced fine-tuning for its GPT-3.5 Turbo, allowing developers to customize the AI model for specific tasks, although developers have expressed both excitement and criticism, citing better results from other methods and concerns about cost.
Companies are adopting Generative AI technologies, such as Copilots, Assistants, and Chatbots, but many HR and IT professionals are still figuring out how these technologies work and how to implement them effectively. Despite the excitement and potential, the market for Gen AI is still young and vendors are still developing solutions.
Cloud computing vendor ServiceNow is taking a unique approach to AI by developing generative AI models tailored to address specific enterprise problems, focusing on selling productivity rather than language models directly. They have introduced case summarization and text-to-code capabilities powered by their generative AI models, while also partnering with Nvidia and Accenture to help enterprises develop their own generative AI capabilities. ServiceNow's strategy addresses concerns about data governance and aims to provide customized solutions for customers. However, cost remains a challenge for enterprises considering the adoption of generative AI models.
McKinsey has developed "Lilli," a generative AI platform that revolutionizes knowledge retrieval and utilization, reducing time and effort for consultants while generating novel insights and enhancing problem-solving capabilities.
The new Typeface app for Microsoft Teams uses generative AI to help enterprises scale their marketing efforts and produce personalized content at a faster rate.
The surge in generative AI technology is revitalizing the tech industry, attracting significant venture capital funding and leading to job growth in the field.
Generative AI, a technology with the potential to significantly boost productivity and add trillions of dollars to the global economy, is still in the early stages of adoption and widespread use at many companies is still years away due to concerns about data security, accuracy, and economic implications.
Hybrid data management is critical for organizations using generative AI models to ensure accuracy and protect confidential data, with a hybrid workflow combining the public and private cloud offering the best of both worlds. One organization's experience with a hybrid cloud platform resulted in a more personalized customer experience, improved decision-making, and significant cost savings. By using hosted open-source large language models (LLMs), businesses can access the latest AI capabilities while maintaining control and privacy.
MSCI is expanding its partnership with Google Cloud to utilize generative AI for investment advisory purposes, aiming to provide investors with enhanced decision-making capabilities, deep data-driven insights, and accelerated portfolio implementation in areas such as risk signals, conversational AI, and climate generative AI.
Microsoft will collaborate with eight universities in Hong Kong to promote the use of generative AI technology in education through the deployment of its Azure OpenAI service.
SAP and Google Cloud have expanded their partnership to bring generative AI-powered solutions to industries such as automotive and sustainability to help improve business decision-making and enhance sustainability performance.
Generative AI tools are revolutionizing the creator economy by speeding up work, automating routine tasks, enabling efficient research, facilitating language translation, and teaching creators new skills.
Generative AI will become a crucial aspect of software engineering leadership, with over half of all software engineering leader role descriptions expected to explicitly require oversight of generative AI by 2025, according to analysts at Gartner. This expansion of responsibility will include team management, talent management, business development, ethics enforcement, and AI governance.
General Motors is expanding its collaboration with Google to explore the future use of advanced generative AI, aiming to revolutionize the customer experience and deliver new features and services.
Generative artificial intelligence, particularly large language models, has the potential to revolutionize various industries and add trillions of dollars of value to the global economy, according to experts, as Chinese companies invest in developing their own AI models and promoting their commercial use.
Generative AI tools are causing concerns in the tech industry as they produce unreliable and low-quality content on the web, leading to issues of authorship, incorrect information, and potential information crisis.
The decision of The Guardian to prevent OpenAI from using its content for training ChatGPT is criticized for potentially limiting the quality and integrity of information used by generative AI models.
Microsoft is reportedly integrating its generative AI product, Copilot, into its cloud storage service, OneDrive, providing users with organizational features and more efficient file lookup, with the announcement potentially being made at the Power Platform Conference on October 3.
Microsoft has developed four new AI compilers, named Rammer, Roller, Welder, and Grinder, which optimize the performance of AI models by improving compilation efficiency and running them more efficiently on hardware accelerators like GPUs. These compilers demonstrate Microsoft's leadership in AI systems and offer significant performance gains over existing solutions.
Intuit is launching a generative AI software tool for its financial, tax, and accounting software.
Appen, an Australian AI software vendor, is struggling to pivot to generative AI as its revenue declines and executive departures increase, reflecting years of weak quality controls and a disjointed organizational structure.
IBM has introduced new generative AI models and capabilities on its Watsonx data science platform, including the Granite series models, which are large language models capable of summarizing, analyzing, and generating text, and Tuning Studio, a tool that allows users to tailor generative AI models to their data. IBM is also launching new generative AI capabilities in Watsonx.data and embarking on the technical preview for Watsonx.governance, aiming to support clients through the entire AI lifecycle and scale AI in a secure and trustworthy way.
Microsoft expects its suite of generative artificial intelligence tools to achieve $10 billion in revenue faster than any other business in the software industry.
The rise of generative AI is accelerating the adoption of artificial intelligence in enterprises, prompting CXOs to consider building systems of intelligence that complement existing systems of record and engagement. These systems leverage data, analytics, and AI technologies to generate insights, make informed decisions, and drive intelligent actions within organizations, ultimately improving operational efficiency, enhancing customer experiences, and driving innovation.
Generative AI is being explored for augmenting infrastructure as code tools, with developers considering using AI models to analyze IT through logfiles and potentially recommend infrastructure recipes needed to execute code. However, building complex AI tools like interactive tutors is harder and more expensive, and securing funding for big AI investments can be challenging.
Microsoft-backed OpenAI has consumed a significant amount of water from the Raccoon and Des Moines rivers in Iowa to cool its supercomputer used for training language models like ChatGPT, highlighting the high costs associated with developing generative AI technologies.
Generative AI can help small businesses manage their social media presence, personalize customer service, streamline content creation, identify growth opportunities, optimize scheduling and operations, enhance decision-making, revolutionize inventory management, transform supply chain management, refine employee recruitment, accelerate design processes, strengthen data security, and introduce predictive maintenance systems, ultimately leading to increased productivity, cost savings, and overall growth.
Artificial intelligence (AI) has the potential to democratize game development by making it easier for anyone to create a game, even without deep knowledge of computer science, according to Xbox corporate vice president Sarah Bond. Microsoft's investment in AI initiatives, including its acquisition of ChatGPT company OpenAI, aligns with Bond's optimism about AI's positive impact on the gaming industry.
AI tools from OpenAI, Microsoft, and Google are being integrated into productivity platforms like Microsoft Teams and Google Workspace, offering a wide range of AI-powered features for tasks such as text generation, image generation, and data analysis, although concerns remain regarding accuracy and cost-effectiveness.
As generative AI continues to gain attention and interest, business leaders must also focus on other areas of artificial intelligence, machine learning, and automation to effectively lead and adapt to new challenges and opportunities.
Eight additional U.S.-based AI developers, including NVIDIA, Scale AI, and Cohere, have pledged to develop generative AI tools responsibly, joining a growing list of companies committed to the safe and trustworthy deployment of AI.
Generative AI has the potential to understand and learn the language of nature, enabling scientific advancements such as predicting dangerous virus variants and extreme weather events, according to Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA.
The generative AI boom has led to a "shadow war for data," as AI companies scrape information from the internet without permission, sparking a backlash among content creators and raising concerns about copyright and licensing in the AI world.
Generative AI is set to revolutionize game development, allowing developers like King to create more levels and content for games like Candy Crush, freeing up artists and designers to focus on their creative skills.
The data centre industry is preparing for an exponential surge in generative AI applications, with top tech companies like HPE, AMD, Airtel’s Nxtra, and Hiranandani’s Yotta making necessary preparations.
Microsoft is experiencing a surge in demand for its AI products in Hong Kong, where it is the leading player due to the absence of competitors OpenAI and Google. The company has witnessed a sevenfold increase in AI usage on its Azure cloud platform in the past six months and is focusing on leveraging AI to improve education, healthcare, and fintech in the city. Microsoft has also partnered with Hong Kong universities to offer AI workshops and is targeting the enterprise market with its generative AI products. Fintech companies, in particular, are utilizing Microsoft's AI technology for regulatory compliance. Despite cybersecurity concerns stemming from China, Microsoft's position in the Hong Kong market remains strong with increasing demand for its AI offerings.
Microsoft has announced the launch of the Early Access Program for its generative AI service, M365 Copilot, in Australia, with businesses like AGL, Data#3, Bupa, NAB, Powerlink Queensland, Rest Super, and Suncorp being among the first to deploy the technology, aiming to improve productivity and employee experiences.
Generative AI is empowering fraudsters with sophisticated new tools, enabling them to produce convincing scam texts, clone voices, and manipulate videos, posing serious threats to individuals and businesses.
Morgan Stanley has launched its generative AI assistant, based on OpenAI's GPT-4, for all financial advisors, aiming to revolutionize client interactions and increase efficiency.
OpenAI, a leading startup in artificial intelligence (AI), has established an early lead in the industry with its app ChatGPT and its latest AI model, GPT-4, surpassing competitors and earning revenues at an annualized rate of $1 billion, but it must navigate challenges and adapt to remain at the forefront of the AI market.
Generative AI is a form of artificial intelligence that can create various forms of content, such as images, text, music, and virtual worlds, by learning patterns and rules from existing data, and its emergence raises ethical questions regarding authenticity, intellectual property, and job displacement.
Microsoft is set to unveil its AI integration plans for Windows, Microsoft 365 services, and Surface at a special event, building on its existing OpenAI partnership and signaling a shift toward a web-based future for Windows.
Microsoft is integrating advanced AI-powered features into its software and Windows operating system, as announced by the company's CEO.
Microsoft has announced generative AI updates to its search and advertising platforms, including Compare & Decide Ads and Copilot, to revolutionize how users interact with search engines and online ads.
Open source and artificial intelligence have a deep connection, as open-source projects and tools have played a crucial role in the development of modern AI, including popular AI generative models like ChatGPT and Llama 2.
Generative AI tools like GPT-4 and Dall-E 2 can revolutionize the gaming industry by creating thousands of unique assets for game worlds, improving immersion and reducing costs for developers.
