Search Results for: Intel

Artificial Intelligence – What’s in a Name?

As the tech industry hype cycle continues to churn my in-box every day, I find myself reflecting on the meme du jour of “artificial intelligence.” My initial reaction to over-hyped terms is to resist giving them more credence than they may deserve. “AI” associated with just about everything falls in line with my reticence. Somehow all new products and/or services are related to “AI”: AI-based, AI-powered, AI-fueled, AI-motivated (oh come on!).

Third Annual Global RPA Industry Report Indicates that Intelligent Automation Will Lead Companies Out of Global Crises

As world tensions increase and the stock market faces volatility, business leaders indicate that intelligent automation has become a pivotal strategy to navigate current market challenges and sustain business performance. Of the 1,000 global organizations surveyed, more than 90 percent say automation addresses the impact of supply chain and economic uncertainty, according to the third edition of the Automation Now & Next report from Automation Anywhere.

How to Overcome Patient Obstacles with Conversational Intelligence

In this special guest feature, Amy Brown, Founder and CEO of Authenticx, discusses speech analytics in healthcare. Organizations must listen and learn from patients’ voices to gather insights, customize their approach and facilitate change and growth.

Artificial Intelligence & Data Analytics in the Last Mile Logistics

In this special guest feature, Anar Mammadov, Founder of Senpex, highlights how delivery logistics companies have powerful artificial intelligence, data analysis tools at their disposal, and part of the innovation in this field has been ensuring that clients can access this data. An analytic dashboard allows clients to understand what is happening with their delivery orders and ensure that their precious business is in the right hands.

Unstruk Data: Empowering Enterprises to Transform Unstructured Data Files into Actionable Intelligence about Real-world Assets and Locations

The latest version of Unstruk’s flagship product is the first commercially available DataOps platform built to generate intelligence about real-world assets and locations, so that it can be utilized to automate processes, inform business decisions or integrate into other critical workflow systems.

The Value of Artificial Intelligence in Customer Data Platforms

In this special guest feature, Aditya Bhamidipaty, Founder & CEO, FirstHive, discusses how businesses today face an expanding gap between the value their customers’ data can potentially provide and the true value their CDPs can create. AI systems can help close this gap by enhancing the productivity of human workers, so long as those workers are trained how to use those systems effectively.

Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing

Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.

AI-Augmented Analytics is Transforming Business Intelligence and Simplifying Data Complexity

In this contributed article, Ajay Khanna, CEO & Founder of Tellius, highlights that when it comes to business intelligence and data analytics, AI is a driving a new wave of innovation called augmented analytics that makes it easier for individuals of all technical skill levels to analyze volumes of data to accelerate more valuable business insights. AI and machine learning are transforming industries and improving how we use technology at an amazing pace, whether it’s accelerating drug discovery and therapeutics, allowing us to speak to our home appliances, or using facial recognition on our handheld devices.

Research Highlights: Using Theory of Mind to improve Human Trust in Artificial Intelligence

eXplainable Artificial Intelligence (XAI) has become an active research area both for scientists and industry. XAI develops models using explanations that aim to shed light on the underlying mechanisms of AI systems, thus bringing transparency to the process. Results become more capable of being interpreted by both experts and non-expert end users alike. New research by a team of UCLA scientists is focused on boosting human trust in these increasingly common systems by greatly improving upon XAI. Their study was recently published in the journal iScience.

Leveraging Data Sharing and Network Intelligence to Solve AI Edge Cases

In this special guest feature, Radha Basu, Founder and CEO of iMerit, outlines how edge cases as simple as traffic cones will continue to be autonomous vehicle technology’s biggest challenge, but solving them will require more than annotating images to train an algorithm. It will also require a combination of smarter algorithms, data sharing, and network intelligence.