There is no shortage of hype about AI’s potential. But to truly realize that value, we must deploy it in the field repeatedly and reliably in an ever-changing world – and therein lies the challenge. For AI to work sooner, better, and faster, organizations must operationalize more AI programs so they can start collecting and learning […]
What Insurers Need to Know About the Risks of AI and Machine Learning
Artificial intelligence (AI) and machine learning (ML) are continuing to transform the insurance industry. Many companies are already using it to assess underwriting risk, determine pricing, and evaluate claims. But if the proper guardrails and governance are not put into place early, insurers could face legal, regulatory, reputational, operational, and strategic consequences down the road. […]
AI and Data Strategy: Where Do They Intersect?
Artificial Intelligence (AI) has penetrated nearly every industry because of its ability to improve business outcomes – from employee productivity to decision-making to customer experience. It’s no surprise that organizations large and small are embracing AI. That being said, starting AI without a strong Data Strategy in place can do more harm than good. Data Strategy refers […]
The Application of Synthetic Data Is Inevitable
Synthetic data is at an inflection point of utilization. The emerging technology is just beginning its adoption cycle and value to the enterprise, but change is on the horizon. According to my company’s recent survey, industry leaders believe that, on average, 59% of their industry will utilize synthetic data in five years, either independently or in combination with […]
Semantic Technology Trends in 2022
Semantic technology trends are expanding well beyond an interesting, more advanced search engine. Besides providing scientists with a more functional search engine, semantic technology is now being used to improve artificial intelligence and machine learning. Semantic technology uses a variety of tools and methods designed to add “meaning” to a computer’s understanding of data. When […]
How to Prepare Data for AI and ML
Regardless of how clever the machine or how brilliant the algorithm, the success of intelligence-based solutions is intrinsically tied to the quality of the data that goes in. That’s why, aside from its people, data is the most important thing an organization owns. Data must be the first stop on the journey to implementing artificial […]
Data Science vs. Decision Science: A New Era Dawns
Data Science vs. Decision Science: Basic Descriptions In Data Science, a variety of advanced technologies like data mining, statistics, predictive analytics, AI, and machine learning are used in conjunction to deliver solutions for business problems. In Decision Science, analyzed data is “interpreted” to arrive at business decisions that meet specific objectives. So while Data Science […]
How to Start Using AI at Your Company
So you want to start using AI at your company. Now what? First, evaluate if it has an appropriate place in your company. Many organizations hire a data scientist or an entire AI team with an anticipation of a fast, massive, magical gain. Even though by now most people realize that these expectations are naive, […]
How AI Is Modernizing Online Transactions
Braving the global pandemic for the past two years has changed online transactions for consumers and businesses alike. As a result, the digitization of customer online activity with retailers and other businesses has become the preferred way to engage. According to my company’s Global Insights Report, there has been a 25% annual increase in online consumer […]
2022: The Dawn of Next-Gen Conversational AI?
The 2021 tech world was as busy as it has ever been, thanks to the continued challenges presented by the COVID-19 pandemic. And this is particularly true for conversational AI. From insurance to retail, businesses are doubling down on their technology investments and broader digital transformation efforts as they try to adapt to the expectations […]