Around this time last year, the 2021 AI in Healthcare Survey was released. The results showed growth in natural language processing (NLP), clinicians becoming primary users of AI technology, and a preference for companies using their own data to validate models, among other findings. And while the results didn’t change significantly from last year, there […]
What Are AI APIs, and How Do They Work?
An application programming interface (API) is a powerful technology and a growing concept in the software development sphere. It can be used in a variety of business functions and in applications that we regularly use. We frequently hear about APIs, but most of us don’t realize that they have become more prevalent in our daily […]
Data Management Technology: Trends and Challenges
The last two years have been significant in the growth of Data Management technology, mainly because of the pandemic and associated factors. Almost overnight, large, medium, and small organizations located far and wide, suddenly realized the importance of online business models and hosted Data Management services. The coronavirus gave the final push to global enterprises […]
AIOps Technology: It’s Just Getting Started
There’s something surprising about enterprise technology: It’s not as evolved as most people assume. According to Flexera’s 2021 State of the Cloud Report, just six of 10 businesses have migrated their workloads to the cloud. That implies that 40% of workloads are still running on a client server or mainframe infrastructure. But not for long. Jamie Dimon, […]
Data Science Best Practices
When done right, Data Science delivers a lot of measurable values like improved products and services, enhanced customer experiences, sales growth, new business developments channels, and overall business efficiency. However, according to most reliable industry publications, most Data Science projects fail because the Data Science best practices are not followed. Why Do Businesses Need Data […]
3 Ways AI Engineering Can Help Drive Broader Adoption
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. […]
Slides: How to Use a Semantic Layer on Big Data to Drive AI & BI Impact
To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Learn about using a semantic layer to make data accessible and how to accelerate the business impact of AI and BI at your organization. This session will offer practical advice on how to drive AI & BI business […]
Webinar: How to Use a Semantic Layer on Big Data to Drive AI & BI Impact
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Learn about using a semantic layer to make data accessible and how to accelerate the business impact of AI and BI at your organization. This session will offer practical advice on how to drive AI & BI […]
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 […]