TeamViewer has launched AI-powered features called Session Insights, designed to enhance remote support efficiency for IT teams. These tools automatically summarize sessions and provide analytics, allowing quicker handovers and improved decision-making. A recent survey by TeamViewer revealed that 75% of IT, OT, and business decision-makers believe AI is crucial for increasing business efficiency, with 61% anticipating positive revenue impacts in the coming year. IT professionals save an average of 16 hours monthly through AI, compared to just six hours for public sector employees. As AI adoption grows, the majority of decision-makers are now seeking practical applications, with 61% agreeing the AI hype cycle has ended.
GitHub has announced that its coding assistant, GitHub Copilot, will soon support four new large language models, including Claude 3.5 Sonnet, Gemini 1.5 Pro, and OpenAI’s o1-preview and o1-mini. This update was revealed during the GitHub Universe conference, promising to enhance developer choice across various functions in Copilot. The OpenAI models are currently available in Copilot Chat, with Claude 3.5 Sonnet expected soon and Gemini 1.5 Pro to follow in the coming weeks. GitHub aims to provide multi-model functionality to cater to diverse programming needs, emphasizing its commitment to being an open developer platform. The company also introduced GitHub Spark, an AI tool that allows users to create micro apps using natural language, highlighting the evolving landscape of AI in coding.
LinkedIn has announced the launch of its AI Hiring Assistant, designed to streamline the recruiting process by connecting recruiters with potential candidates more efficiently. The AI agent can analyze job descriptions and prompts from recruiters, suggesting suitable candidates based on specific criteria. Hari Srinivasan, vice president of product for LinkedIn Talent Solutions, emphasized reducing time spent on administrative tasks, allowing recruiters to focus on actual hiring.
Why do we care?
Adopting tools that offer AI-powered insights and summaries could be a differentiator, allowing them to provide quicker and more accurate support. Directionally, this is where support is going, with more automation beyond.
Offering LLM options, such as OpenAI’s models, Anthropic’s Claude, and Google’s Gemini, empowers developers to select models that might excel in language understanding, code generation, or specific syntactic needs. It also breaks the OpenAI lock-in, and if it is the trend of the future, it is distinctly an area for providers to help. Which model should customers pick? Answer that question.
