Practical Innovation – How IBRS Research Can Help You On The Journey – Part 2
Part 2 of our practical innovation tool. Discover how to innovate in IT successfully.
Part 2 of our practical innovation tool. Discover how to innovate in IT successfully.
ICT policies often leave even seasoned executives uneasy, perceived as lengthy, endless compliance exercises yielding little reward beyond periodic reviews.
To present AI effectively to the board, emphasise its role in augmenting rather than replacing existing capabilities.
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.
Unlock the potential of machine learning in your organisation. Stay ahead in the data-driven world.