Although it may sound blunt, the truth is that several organizations have no idea about how to implement AI correctly. Unlike what many business executives may believe, AI is not just about the automation of business processes. Enterprise AI implementation must be made with long-term data-driven strategies in mind. To ingrain the technology within the fabric of your business, you'll need to clearly explore how your business and AI can align perfectly to maximize its potential for widening your ROI, revenue generation, growth and diversification. For that purpose, understanding the symbiotic relationship between AI and your enterprise is vital.

The metaphorical data explosion of the current age has changed how organizations function. Today, with the right amounts of effort and investment in technology and expertise, business heads can take operational and other major decisions with greater success as they're based on cold statistics and empirical evidence instead of--as was the case in the days of yore--inadequately supported gut feelings and instinct. The application of business intelligence is also much more widespread now, with organizations in several sectors using machine learning, computer vision, NLP, IoT and other data-oriented technologies to collect, process and analyze the data collected before putting it to use in a variety of ways. An often-overlooked aspect of business intelligence is the need to incorporate a long-term data-driven culture at the workplace in a way that complex analytical terms and working mechanisms become second nature for all stakeholders in any organization. Only organizations with high data fluency can foster such a culture for the long term.

This is a guest post by Kirk Borne, Ph.D., Chief Science Officer at DataPrime.ai, Kirk is also a consultant, astrophysicist, data scientist, blogger, data literacy advocate and renowned speaker, and is one of the most recognized names in the industry. A survey of 1,100 data practitioners and business leaders reported that 84% of organizations consider data literacy to be a core business skill, agreeing with the statement that the inability of the workforce to use and analyze data effectively can hamper their business success. In addition, 36% said data literacy is crucial to future-proofing their business. Another survey found that 75% of employees are not comfortable using data.

Sharecare is a digital health company that offers an artificial intelligence-powered mobile app for consumers. But it has a strong viewpoint on AI and how it is used. Sharecare believes that while other companies use augmented analytics and AI to understand data with business intelligence tools, they are missing out on the benefits of data fluency and federated AI. By using federated AI and data fluency, Sharecare says it digs deeper to find hidden similarities in the data that business intelligence tools would not be able to detect in health settings. To gain a deeper understanding of data fluency and federated AI,Healthcare IT News sat down with Akshay Sharma, executive vice president of artificial intelligence at Sharecare, for an in-depth interview. Q: What exactly is federated AI, and how is it different from any other form of AI? A: Federated AI, or federated learning, guarantees that the user's data stays on the device.

Sharecare is a digital health company that offers an artificial intelligence-powered mobile app for consumers. But it has a strong viewpoint on AI and how it is used. Sharecare believes that while other companies use augmented analytics and AI to understand data with business intelligence tools, they are missing out on the benefits of data fluency and federated AI. By using federated AI and data fluency, Sharecare says it digs deeper to find hidden similarities in the data that business intelligence tools would not be able to detect in health settings. To gain a deeper understanding of data fluency and federated AI, Healthcare IT News sat down with Akshay Sharma, executive vice president of artificial intelligence at Sharecare, for an in-depth interview. Q: What exactly is federated AI, and how is it different from any other form of AI? A: Federated AI, or federated learning, guarantees that the user's data stays on the device.

Amazon launched a Machine Learning University to equip its engineers with the skills needed to deploy machine learning at scale in their products …

Some companies are built for data science. Others need to make some serious infrastructure changes in order for data science to work effectively for them. In this article, I outline the 5 stages of data fluency that companies go through on their way to leveraging data science. If you're a data scientist, the stage of data fluency that your company is at will greatly impact the type of work that you do. If you are a data science manager or someone in charge of the data strategy for your company, this article can act as a road map to take your organization to the next level.