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Why Mission-Critical Industries Need Custom Industrial Data Platforms

Acuvate

Today, data and AI are powering a new wave of industrial innovation called Industry 4.0. Using advanced sensors and data analytics platforms, companies in the energy and manufacturing sectors have unlocked additional operational efficiency. The global Internet of Things (IoT) market in energy alone is expected to hit 35.2

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IoT for Logistics: Leveraging Data-driven decisions for Predictive and preventive Fleet Maintenance, Optimizing life cycle, and Ensuring Workforce Safety

Acuvate

with last-mile connectivity and offering continuous and real-time data on static and moving assets and infrastructure. In the age of data and AI, industry players are looking to maximize operational efficiency and enhance customer experience with game-changing IoT logistics and fleet management solutions. million by 2030. .

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Innovation in the Age of AI: How Innovators Stay Relevant

Phil McKinney

Furthermore, AI can provide valuable insights through data analysis, pinpointing trends and patterns that humans might miss. This allows innovators to make data-driven decisions, enhancing the effectiveness and success of their innovations. AI can accelerate innovation, enabling faster development and the iteration of ideas.

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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. Blockchain.

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7 Deadly Sins in Corporate Innovation

PlanBox Innovation

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. A realistic first step in this direction would mean leveraging AI to scan internal and external data sources to alert innovators of emerging technologies or weak signals.

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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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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.