News from the AI & ML world
DeeperML - #transformation
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Bernard Marr,@Bernard Marr
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The rapid advancement of Artificial Intelligence is poised to transform the job market significantly, with projections indicating that AI could impact up to 70% of jobs by 2030. This "Great Skill Shift" signifies a move towards a skills-based, human-centered ecosystem. Rather than simply automating tasks, AI is fundamentally reshaping the labor landscape, requiring individuals to adapt and acquire new skills to remain relevant in the evolving workplace. Microsoft envisions a future where AI acts as a companion, built around individual needs and expectations, highlighting the importance of personalization in this technological revolution.
As Microsoft celebrates 50 years of innovation, its contributions to AI development are becoming ever more clear. From the initial launch of its operating system in 1985 to Bill Gates's prediction about the internet, Microsoft has continued to adapt to changing technologies. Foundational papers by Microsoft Research, like those on Bayesian Networks and the Z3 theorem prover, set the stage for current advancements in AI. Microsoft has been committed to building a trusted AI platform, including tools, that will be used in the future. Microsoft's journey in AI is marked by key milestones, including the launch of Bing with natural language capabilities in 2009. Bing introduced machine learning features that provided search suggestions and related searches. The 2015 launch of Project Oxford, now Azure AI Foundry, gave developers intelligent technologies for building smarter apps featuring face detection, voice recognition, and language understanding. These achievements highlight Microsoft's dedication to developing AI tools and resources, providing developers with the ability to create AI-powered applications.
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Gurhan Kok,@AIwire
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AI is rapidly transforming retail, healthcare, and cybersecurity. In retail, AI-powered demand forecasting combines sales data with external factors to generate precise predictions, reducing stockouts and minimizing overstocking. AI automates inventory management tasks, anticipates demand changes, and optimizes inventory transfers between locations. These advancements reshape retail operations, enabling customized experiences and boosting productivity.
In healthcare, AI is assisting doctors with data analysis and offering preventative care. Wearable devices track daily activities, allowing predictive analytics to identify behaviors that may threaten health in the future. This enables personalized interventions and helps individuals understand the impact of their lifestyle choices on their well-being, ultimately improving quality of life and potentially extending lifespan. In cybersecurity, AI is changing the cyber threat landscape, with experts discussing the AI standoff between cyber threat actors and cyber defenders. The Digital Trust & Safety Partnership (DTSP) has unveiled new best practices for incorporating AI and automation into trust and safety operations, aiming to address content and conduct-related abuse on digital platforms.
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