AI Assistant stories
Adobe unveils a series of AI advancements aimed at enhancing brands' customer experiences and content personalisation, including their new generative programme, Adobe GenStudio.
Xero unveils AI vision and previews GenAI-powered business assistant, JAX, aiming to revolutionise accounting for small-scale businesses by automating tasks and delivering tailored insights.
GoTo debuts GoPilot, an innovative AI assistant for its GoTo Resolve service, designed to automate diagnostics and streamline IT operations.
Adobe introduced its first AI assistant in Acrobat and Reader, revolutionising document interaction with generative AI technology that provides useful tools.
Lufthansa Systems launches AI-powered assistant, NetLine/Ops ++ aiOCC, aiding airline operation controllers with real-time suggestions and boosting operational efficiency.
Slack introduces advanced AI features to streamline customer engagement and productivity, including a personalised TLDR, channels recap, and boosted search function, during its 10 years anniversary.
DTEX Systems launches an AI Risk Assistant as an add-on to its InTERCEPT platform, leveraging generative AI to address insider threats and mitigate data loss with in-depth insights.
Project Manda, using AI and analytics to overhaul unproductive meeting cultures in businesses, hopes to unlock and redirect significant time into organisational productivity.
DataStax and Amazon Web Services join forces to accelerate the delivery of progressive generative AI solutions.
DataStax integrates LangChain, offering developers easier creation of generative AI applications and promoting enterprise participation.
Legal technology company Litera has introduced new generative AI (GenAI) features in its contract review software Kira.
Freshworks has unveiled Freddy Self Service, Freddy Copilot and Freddy Insights to make artificial intelligence more accessible to every workplace.
By 2030, US advertising agencies and related services companies will lose 32,000 jobs to automation, about 7.5% of the agency workforce.
It will allow engineers to use natural language and AI to monitor, debug, secure, and improve the software stack and remove barriers to adopting observability.
