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.
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.
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.
IDC has seen a rising buyer interest in cloud app-centric platforms and the agility that the cloud affords. Recently at the IDC Directions 2019 conference, IDC presented on Multiplied Innovation: Scaling a Technology Revolution outlining new technologies that innovate at scale which underpin the growth of cloud applications into the future. This trend is reflected in many traditional Enterprise Content Management applications found in the IDC Market Glance: Content-Centric Workflow Ecosystem transitioning to cloud content apps to meet this growing demand.
