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Innovation in the Age of AI: How Innovators Stay Relevant

Phil McKinney

Artificial intelligence (AI) has come a long way since its inception, and today it is no longer just a buzzword but an integral part of our daily lives. Furthermore, AI can provide valuable insights through data analysis, pinpointing trends and patterns that humans might miss. AI is continuously evolving and improving.

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Does AI Replace Human Work?

The BMI Lab Blog

dollars by 2025 the global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years ( Liu, 2020 ). Statista figures based on 2018 to 2030 forecasts, by segment (in billion U.S. Statista figures based on 2018 to 2030 forecasts, by segment (in billion U.S. ” — IBM, 2020.

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yet2 Insights: The Future of IoT

Yet2

Across the board we are seeing that while most perceive IoT technologies as simply convenient devices, the implications of IoT and the resulting data are truly revolutionary. It is only possible with the expansion of broadband wireless networking, vast cell phone market penetration, and the rise of cloud computing.

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Understanding the Innovation Landscape needed for Enabling Technologies in the World’s Energy Transition

Paul Hobcraft

Artificial Intelligence and Big Data. We are far to slow in Government policy in providing incentives and organizing the capital markets to raise, distribute and commit to investment levels that are necessary to make this transition. Behind-the-meter batteries. Electric-vehicle smart charging. Internet of Things.

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7 Deadly Sins in Corporate Innovation

PlanBox Innovation

Look for alternative approaches and models to what may be considered as settled. Artificial Intelligence (AI) innovation is still in its infancy, but it holds great potential according to Gartner’s latest market guide on innovation management tools.

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Continuing the Energy Transition Journey

Paul Hobcraft

Technology innovation, suggested new business models, outline proposals for changing policies, processes, and market design all are being “sketched out.” The software is automating this, more demand-responsive, real-time data, data analytics, and planning systems to extract the value out of the data.

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Iron Man: the hero of wearables and IoT

mjvinnovation

The forecast is that by the middle of 2030, we’ll have a trillion devices connected. Like Tony Stark, data scientists and organizations need to adapt to the opportunities and data volume of IoT. Understand the relationship between Big Data and Iron Man armor. Is too much data a problem? Mark I: Analogue Era.