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May 2019

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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.

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.

On May 3rd, 2019, Tendril announced the agreement to acquire EnergySavvy in a strategic move to gain more market share in the competitive utility home energy management space.  Tendril’s core offerings have been focused on residential customer engagement products and services, which provide personalized energy efficiency and demand side management products and programs. The acquisition of EnergySavvy brings advanced personalization capabilities to the Tendril Platform.

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.

In the United States today, women account for 47% of the overall workforce, yet only 25% of IT workers are female according to the Bureau of Labor Statistics (BLS). The tech industry’s efforts to raise the inclusivity of women as employees have been sporadic and inconsistent over the last 50 years, though the issue has certainly gained more notoriety in recent years. Yet despite employers’ efforts to introduce numerous programs to help educate, hire and retain women in technology, women remain significantly underrepresented at all levels.