Editor's Pick (1 - 4 of 8)
Repurposing Supercomputers - What happens on
Collaboration in the Information Age
Healthcare Technology Enables -
The Evolution of the "I" in CIO
Microsoft Azure as an 'Infrastructure as a Service'
Ira Shapiro, CIO, Quantum Group
How to 'Fix' your CMDB with Hardware Asset Management
Orland Dami, CIO Advisory Senior Associate, KPMG
Hidden Costs of Outsourcing and Offshoring for Financial Services Firms: Third-party Financial Data Licensing
Kristin Gallagher, Director–Global Sourcing & Procurement, Russell Investments
Leveraging Digital Transformation with WMS
Setrag Khoshafian, Chief Evangelist & VP of BPM Technology, Pegasystems
Business Success Requires Artificial Intelligence
By Greg Smiley, CIO, Florida Department of Transportation
Like cloud computing, the term itself is nebulous enough to elicit unrealistic expectations from executives. When they get past that, they encounter uncertainty at a level that is very uncomfortable. How can artificial intelligence support better business decisions when the decision maker can’t explain how the machine came to that answer? There aren’t too many leaders that are willing to make crucial decisions based on results from a magical black box. As the hype cycle predicts, the trough of disillusionment sets in after the initial peak of inflated expectations.
This rollercoaster isn’t new when it comes to artificial intelligence.
The absolute best indicator for where government organizations are headed is by observing the consumer market
The absolute best indicator for where government organizations are headed is by observing the consumer market. This drives customer expectations and forces functional areas within the organization to adapt. With artificial intelligence becoming more ubiquitous than it has ever been, this will drive expectations. More people are familiar and comfortable with it in their daily lives. Not only are they comfortable with it, they expect it.
Exponential improvements in storage, bandwidth, cloud, and edge computing bring transformative innovations within reach. The quality of AI is directly dependent on the amount of data that can be processed. These improvements allow us to make models that are actually capable of digesting the information. At the end of the day, artificial intelligence is mostly a healthy dose of statistics with some optimizations sprinkled in; it gets smarter with more data.
The speed of digital transformation in everything your organization does requires a new approach to keep up. The cadence of modern technology mandates a level of technical agility that is difficult to achieve and sustain without the use of algorithms designed for uncertainty, and it is only going to speed up.
It is this last point that will force organizations into a feedback loop. Digital transformation is fueling artificial intelligence through the need to support faster business decisions. Conversely, artificial intelligence is fueling the need for more data, which is a catalyst for digital transformation. This symbiotic relationship will fundamentally change how people work and ultimately lead to better business outcomes for those organizations who dare to embrace it.