Companies increasingly rely on artificial intelligence to automate crucial tasks. Machines with brains work alongside humans in warehouses, make recommendations about who should get credit, triage patients seeking care, and analyze dizzying quantities of financial data. Lately, corporate boards have begun to worry about the ethical ramifications of turning so much power over to the machines. A study of 2,737 executives released this month by consulting firm Deloitte found that a majority of those who used AI in their business reported "major" or "extreme" concerns about ethical risks. "Even 18 months ago, ethics was not as much a part of the conversation as it is today," said Beena Ammanath, who leads the AI Institute at Deloitte.

Stationed at the frontier of accelerating artificial intelligence (AI) landscape, organizations need to validate executives who make nimble, informed decisions about where and how to employ AI in their business. Encouraging the industry-wide digital transformation, the widespread technology has permeated more organizations and more parts within organizations spanning the C-suite executives as well. The very fundamentals of leadership need to be rethought, from overall strategy to customer experience, in order to deploy AI appropriately while considering the human capital too. As the conventional business leaderships are giving way to new approaches, opportunities, and threats as a result of broader AI adoption, the new set of AI executives are ready to take over the challenge to drive better innovation and competitiveness. Several C-level executives, in today's dynamic AI culture, are confident enough to wheel their organization's leadership team towards the ability to adapt significant and innovative AI approaches across the business.

Artificial intelligence in the healthcare industry is predicted to save $150 billion annually for the US. As such, AI is being rapidly deployed in many areas of the healthcare landscape. This event will primarily focus on the Providers, attracting CIOs, CDOs, CTOs, VPs of IT and Informatics along with senior Physicians and Clinicians from leading US hospitals who will assess the business value outcomes of AI and share experiences of implementation in clinical care and hospital operations. Demand for basic and advanced analytics is growing exponentially in healthcare. Building a robust data ecosystem to support the spectrum of analytics, from descriptive analytics to support efficient operations to advanced ML / AI analytics to drive differentiated outcomes is a critical enabler for provider systems.