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Microsoft invests 3.2 billion in AI and the cloud in Germany – CIO
While 2023 was still a year of trial and error in terms of generative AI, when everyone put together and tried out all kinds of ingredients, 2024 is the year in which German industrial giants such as Siemens, Mercedes-Benz, Bayer, and BASF will deeply integrate AI technologies into their own services. Ultimately, the German economy could create a unique selling point with the help of AI. According to Janik, the International Monetary Funds AI Readiness Index also shows that the economy has nothing to hide when it comes to AI.
Admiral Selects Google Cloud to Accelerate Innovative Customer Experiences – PR Newswire
LONDON, Feb. 14, 2024 /PRNewswire/ -- Admiral, a leading financial services company in the UK and part of the Admiral Group, has selected Google Cloud as a strategic cloud partner
German chancellor welcomes Microsoft’s $3.5 billion AI investment in Germany – Quartz
Federal Chancellor Olaf Scholz, right, and Vice Chair and President of Microsoft Corporation Brad Smith shake hands in Berlin, `Thursday, Feb. 15, 2024, after a press conference held by Microsoft Deutschland GmbH on the company's investments in the AI sector in Germany. Chancellor Olaf Scholz welcomed an announcement by Microsoft on Thursday that it would invest more than 3.2 billion euros ($3.4 billion) in Germany over the next two years to massively expand its data center capacities for applications in the field of artificial intelligence and cloud computing.
Embracing shadow AI will help accelerate innovation – CIO
Emerging technologies catch IT leaders flat-footed, so it comes as no surprise that some are clenching their teeth over shadow AI, or the unsanctioned use of generative AI and associated services.
Cloud Migration Services Market worth $29.2 billion by 2028 – Exclusive Report by MarketsandMarkets USA … – PR Newswire
CHICAGO, Feb. 15, 2024 /PRNewswire/ -- Trends including edge computing migration, AI-driven solutions,containerisation, and the use of hybrid and multi-cloud infrastructure will shape the cloud migration services market in the future. The evolution of services is driven by issues like regulatory compliance and the complexity of data migration; cost optimisation, DevOps integration, and ecosystem collaboration are key components of effective, safe, and compliant cloud migrations
USPS scam smishing campaigns could move to cloud with SNS Sender – SC Media
USPS failed delivery scam texts could be sent through Amazon cloud services using a new phishing tool brought to light by researchers Thursday. SNS Sender is a Python script discovered by SentinelOne researchers that is designed to enable bulk SMS delivery via the Amazon Simple Notification Service (SNS).
Benefits and challenges of managed cloud security services – TechTarget
Organizations continue to grow more distributed, virtual and complex.
A causal perspective on dataset bias in machine learning for medical imaging – Nature.com
Char, D. S., Shah, N. H
MIT researchers remotely map crops, field by field – MIT News
Crop maps help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing populations. But getting accurate maps of the types of crops that are grown from farm to farm often requires on-the-ground surveys that only a handful of countries have the resources to maintain. Now, MIT engineers have developed a method to quickly and accurately label and map crop types without requiring in-person assessments of every single farm.
Fairness in machine learning: Regulation or standards? | Brookings – Brookings Institution
Abstract Machine Learning (ML) tools have become ubiquitous with the advent of Application Programming Interfaces (APIs) that make running formerly complex implementations easy with the click of a button in Business Intelligence (BI) software or one-line implementations in popular programming languages such as Python or R. However, machine learning can cause substantial socioeconomic harm through failures in fairness. We pose the question of whether fairness in machine learning should be regulated by the government, as in the case of the European Unions (EU) initiative to legislate liability for harmful Artificial Intelligence (AI) and the New York City AI Bias law, or if an industry standard should arise, similar to the International Standards Organization (ISO) quality-management manufacturing standard ISO 9001 or the joint effort between ISO and the International Electrotechnical Commission (IEC) standard ISO/IEC 27032 standard for cybersecurity in organizations, or both.