Uncover the potential of Google’s Spanner database with graph processing for advanced AI applications and data management strategies.
Kapil Mahajan, the company’s Group and Global CIO, effectively harnessed AI and machine learning, along with computer vision technologies, to enhance logistics planning, improve demand forecasting, and streamline cash collection processes.
Implementing generative AI in the contact centre has significantly boosted efficiency for the company, allowing it to engage customers with a more personalised and warm tone.
Uncover the latest advancements in Meta’s Llama 3.1 model and learn how IBRS analysis can guide your organisation in choosing the ideal AI solution.
JBM Group’s CIO, Ranganathan Iyer, implemented AI vision solutions to make data-driven decisions, optimising day-to-day staff allocation, plant operations and improved productivity.
Artificial intelligence helps elevate conversion rates by 10 per cent, customer engagement and delight by 20 per cent, and employee performance by 25 per cent at the real estate firm.
Earlier this year, GraphRAG transformed retrieval-augmented generation (RAG) with its graph-based approach for question-answering over private datasets. Now, Microsoft has made GraphRAG available on GitHub, offering a user-friendly API on Azure—ready to enhance your AI-powered RAG projects. Interested in exploring its capabilities?
Explore the intricate details of Microsoft’s Recall feature analysis, uncovering crucial security and privacy implications in AI technology.
Uncover the revolutionary changes AI integration in personal devices will bring to future workspaces. Stay ahead of the curve with IBRS analysis.
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