Artificial Intelligence in Life Sciences - Vendor Landscape and Use-Cases

Artificial Intelligence in Life Sciences – Vendor Landscape and Use-Cases

Life sciences companies are likely to begin experimenting further with AI in their workflows in the coming years, but they face challenges in AI adoption due to strict regulations. Machine learning has a "black box" problem, meaning that it's in many cases impossible to know how a machine learning algorithm comes to its conclusions.

AI and Alternative Data for Quantamental Investing

AI and Alternative Data for Quantamental Investing

AI and machine learning have had successful applications in the financial sector even before the entry of the mobile banking ecosystem. AI is being used to leverage insights from data for financial investing and trading, wealth management, asset management, and risk management.

Five AI and Data Science Terms Business Leaders Get Wrong

Five AI and Data Science Terms Business Leaders Get Wrong

Have you ever read a blog post or a whitepaper and heard the terms "data science" or "predictive analytics" used in ways that aren't quite right? As it turns out, terms like these are often used incorrectly, but by the end of this episode of the AI in Industry podcast, you'll have greater clarity about five key terms in AI and data science that are sometimes overused in conversations about AI in the enterprise.

Doctor-Globe-Stethoscope-iStock_000006373054Large

Artificial Intelligence in Epidemiology – Current Use-Cases

Artificial intelligence is changing the way healthcare networks do business and physicians perform their routine activities from medical transcription to robot-assisted surgery. Although the more mature use-cases for AI in healthcare are those built on algorithms that have applications in various other industries (namely white-collar automation), we believe that in the coming three to five years, AI solutions for healthcare will become increasingly specialized to individual use-cases.

AI Hardware - Businesses Are Considering More Than Just Performance

AI Hardware – Businesses Are Considering More Than Just Performance

AI hardware is a fast-growing interest among tech media, and there is a lot of opportunity for computer hardware developers when it comes to building chipsets for AI. That said, margins for AI chipsets can differ wildly depending on the use-case for which they’re being built.

AI Ethics at War

AI Ethics at War – When AI Governance Shifts from Cooperation to Competition

Alternative Montaigne-like Article Title: "That the Meek Will Stand United for Only as Long as it Behooves Their Aims"
Today, the world of AI ethics is a harmonious ecosystem of organizations with uncontroversial and reasonable, respectable aims.

Predictive Maintenance in Oil and Gas - Current Applications

Predictive Maintenance in Oil and Gas – Vendors and Use-Cases

The International Energy Agency’s latest annual gas market report, Gas 2018, estimated that global gas demand could reach more than 4,100 billion cubic meters (bcm) in 2023. This is an increase from 3,740 bcm in 2017. Greater gas demands mean more oil rigs, and the machines on these rigs break down.

Information Extraction in Insurance - Claims and Underwriting

Information Extraction in Insurance – Claims and Underwriting

Customer data is essential for insurance firms to stay competitive in the coming decade. Insurance companies at present have backlogs of data on past and existing customers in the form of policy agreements, applications, and claims forms. They’ve also collected millions of images showing car damage, property damage, and personal injuries.

how self-driving cars work

How Self-Driving Cars Work – A Simple Overview

The National Highway Traffic Safety Administration (NHTSA) of the U.S. Department of Transportation recently released an overview report on the current state of self-driving technology.

Robotic Process Automation (RPA) in Healthcare - Current Use-Cases

Robotic Process Automation (RPA) in Healthcare – Current Use-Cases

There are many possibilities for automation in the healthcare industry outside of AI. Robotic process automation (RPA) technology can serve healthcare companies with various use cases involving data transfer and clinical documentation. Moving important information from the business’ frontend to their deeper business processes is among the most common use cases for RPA in healthcare, and many other solutions emerge from this idea.