Prompt Engineering stories
Salesforce unveils the world's first large language model benchmark for CRM, enabling businesses to evaluate LLMs on accuracy, cost, speed, trust, and safety.
Cloudera has unveiled three AI-driven assistants to speed up data and AI business apps, as 84% of Asia-Pacific firms embrace AI for business impact.
A new report by Pegasystems reveals that 96% of Australian businesses are adopting AI, yet only a mere 4% feel adequately prepared for its seamless integration.
Pegasystems reveals new research showing creative generative AI is driving the adoption of analytical AI decisioning tools among global enterprises.
Google Cloud launches Generative AI Ops to help enterprises transition AI applications from concept to production, addressing critical challenges in AI implementation.
Cloudera has rolled out three new AI-powered solutions aimed at simplifying SQL queries, enhancing business intelligence interaction, and accelerating machine learning application production.
Nearly 90% of executives managing supply chains and production seek to ramp up investment in generative AI, but there's a recognised need for advanced training and comprehension of the technology, Accenture's 'Pulse of Change' survey reveals.
Check Point Software Technologies forges strategic collaboration with Microsoft Azure OpenAI Service, marking a significant advance in AI-powered cybersecurity and lightening the workload for security teams.
Cognizant opens Advanced AI Lab in San Francisco, aiming to drive AI innovation and effectively use AI technology for business productivity and decision-making.
Gartner predicts that by 2028, a third of interactions with generative artificial intelligence (GenAI) will employ autonomous agents for task completion, possibly transforming workplace operations across sectors.
Rising use of QR codes and Large Language Models, automation in Managed Service Providers, booming AI spear phishing on the Dark Web, acceleration of AI-based 'vishing', and privacy threats from VR/MR headsets are predicted to shape the cybersecurity realm in 2024.
Many companies are now busy developing their blueprint for where this technology can be applied within their enterprise and how to get there.
Here are some of the things we could expect from Generative AI and the challenges and opportunities it presents in the year ahead. .
Adam Ryan, VP at Litera, asserts Generative AI's significant future role in legal industry, predicting drastic changes by 2024.
Google Cloud and Accenture are launching an AI Centre of Excellence, powered by Google's advanced Gemini model.
SAS unveils predictions for the role of artificial intelligence in 2024, forecasting tech advancements and job creation potential.
Nutanix's report illuminates AI adoption strategies amongst enterprises, highlighting a skills gap in generative AI.
Alibaba Cloud has launched Tongyi Qianwen 2.0, an advanced AI model, alongside industry-specific versions at the Apsara Conference. .
More than 80% of enterprises to use Generative AI APIs or Deployed Generative AI-Enabled Applications by 2026, says Gartner.
AI, cybersecurity, and tech skills dominate the 2024—25 Federal Budget, but experts say more support for startups is essential for long-term innovation.