2026 Automation Responsible AI 
AI News
JANUARY 13, 2025
Dr Jean Innes, CEO of the Alan Turing Institute , said: This plan offers an exciting route map, and we welcome its focus on adoption of safe and responsible AI, AI skills, and an ambition to sustain the UKs global leadership, putting AI to work driving growth, and delivering benefits for society.
AI News
OCTOBER 22, 2024
The EU AI Act is set to fully take effect in August 2026, but some provisions are coming into force even earlier. See also: AI governance gap: 95% of firms haven’t implemented frameworks Want to learn more about AI and big data from industry leaders?
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AI News
OCTOBER 24, 2024
billion investment in AI skills, security, and data centre infrastructure, aiming to procure more than 20,000 of the most advanced GPUs by 2026. This support aims to enhance the UK’s infrastructure to stay competitive in the AI market. “The Government support: The government has invested £1.5
Unite.AI
MAY 27, 2024
According to industry projections, the artificial intelligence (AI) market share in the banking, financial services, and insurance (BFSI) sector is expected to increase by USD 32.97 billion from 2021 to 2026, reflecting the rapid growth and adoption of AI technologies in this domain.
IBM Journey to AI blog
APRIL 11, 2024
The SEPA payment will be in your account within 10 seconds, which enforces automation and performance. December 2026: Banks of EU non-Eurozone countries are required to support receiving SEPA instant payments. Easily automate payments and manage cash across the SEPA zone by using your existing banks.
AWS Machine Learning Blog
MAY 9, 2024
According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.
ODSC - Open Data Science
MARCH 5, 2024
Currently, these trends are shaped by the pursuit of possible innovation that can result in new market capture in machine learning, automation, and data analytics. Factors influencing VC decisions include the startup’s technological edge, market size, team expertise, scalability, and responsible AI practices.
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