Category : Artificial Intelligence and DaaS

Artificial Intelligence and DaaS Business Leadership & Strategy

The Future of Work: Reskilling for the Future Workforce

Future of Work

In an earlier blog about the Future of Work, and in a recent IDC Perspective, we presented IDC’s view of the Future of Work and offered a framework that provides a way to approach and scope the organizational, policy, and technology changes required to leverage this opportunity in a holistic manner. In this blog, we’ll take a closer look at the growing role of technologies like artificial intelligence (AI), robotics, IPA, and augmented and virtual reality (AR/VR) in automating and augmenting the tasks and processes traditionally accomplished by human workers. We’ll also explore how organizations are planning to acquire the skills required to leverage the opportunities for automation and human-machine collaboration.

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Artificial Intelligence and DaaS

The 5 Elements Your AI Strategy’s Code of Ethics Needs

AI ethics

As artificial intelligence’s (AI’s) potential grows, so does the need for a cohesive AI strategy to leverage AI to prioritize and execute the enterprise’s goals. Aside from articulating business goals and mapping out the ways organizations can use AI to achieve those goals, there is another extremely important element that every AI strategy needs: a code of ethics.

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Artificial Intelligence and DaaS Technologies

How to Create Your AI Strategy

AI Strategy

For companies that are committed to creating Digital Transformation (DX) within their organizations, artificial intelligence (AI) is a critical component. The data that is created in DX initiatives has limited value if an organization can’t extract valuable, accurate, and timely insights from it. That’s why enterprise organizations are using AI technologies to pull actionable value from its data; in fact, by the end of 2019, 40% of all DX initiatives will be related to AI.

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Artificial Intelligence and DaaS Business Leadership & Strategy

Digitally Smart or Operationally Intelligent – Do you really speak IT/OT?

IT/OT Convergence

Four months ago, IDC launched its IT/OT Convergence Strategies program, and since then both end users and technology vendor engagement around the topic has been outstanding. These engagements have happened across the board: with IT leadership, operational technology (OT) leadership, and relevant business leaders all in some manner participating in the IT/OT convergence enablement ecosystem.

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Artificial Intelligence and DaaS

What Commercial Service Robotics Growth Means for Other Technology Vendors

commercial service robotics

Face it, you are paying attention to robotics. Maybe it’s as a curiosity, maybe it’s out of due diligence, or perhaps your interest stems from a realization that robotic technology has become useful in ways well beyond the expected use. Regardless of your interest in robots, the fact is, robotic technology is quickly expanding beyond the realm of industrial automation and has steadily been making its way into new industries and use cases. As this technology expands into new areas, it is important for companies developing business applications, IoT and analytics platforms, and systems integration to pay attention and look for opportunities to capitalize on a new and growing market.

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