If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Although the opportunities to apply analytics in the public sector are abundant, cultural and technical challenges must be overcome before government agencies can claim to be fully developed, enterprise-wide, analytically competitive organizations. Building an analytical culture where data is widely used to evaluate hypotheses is crucial for an analytically competitive organization. Despite the successes that the public sector has seen in the past with analytics, data analysis is not integrated into most decision-making processes. This can partly be attributed to the enormous variety of tasks in many different fields that government organizations perform. In such varied environments, one-size-fits-all approach to cultural change is often ineffective, and customized approaches training, policies, and incentives are necessary.
Data volumes in mobile networks are increasing at an unprecedented rate. In our latest mobility report, we forecast that mobile data traffic will grow fourfold by 2025, reaching up to 160 exabytes (EB) per month. This is amazing of course and offers all kinds of opportunities for communications service providers, but there is also a potential downside to this rapid surge in data traffic: its impact on the energy consumption and carbon footprint of mobile networks. That's not the only downside for communications service providers, as it also raises a significant cost concern. As we found in our AI report, the demand to reduce operational costs already ranks among the top priorities for today's operators.
Sign in to report inappropriate content. With the rise of voice assistants and chatbots, the latest episode of Constructech TV digs into the growth predictions, construction case studies, and potential hurdles to adopting the technology. Peggy Smedley asks: Can we trust Alexa and Siri with our business? And perhaps, more importantly, if we can't, what needs to happen next to help the construction industry feel good about the privacy and security of voice assistants.
Grand View Research estimates the global AI market will grow at a compound annual rate of 57% between 2017 and 2025, reaching $36 billion. Forrester predicts that 2020 is the year executives will focus on how to drive and measure the value of their investments in AI. A recent survey of healthcare executives conducted by Optum found that not only is use of AI on the rise, but also that most executives expect a faster return on their investments than first anticipated. What's missing from these lofty projections are more substantive discussions about what's required to ensure that AI can deliver on its promise, such as the importance of data governance and management. There are also fewer conversations about the role AI and machine learning can play in the healthcare supply chain, compared with other areas, such as improved disease diagnosis and drug development.
Delivering the right products and prices, for every sales engagement, at lightning speed, requires the power of proven AI technology. But how do you get your sales team to get on board with prescriptive pricing recommendations when they've been doing it their way for so long? Follow these tips to help ensure your sales team follows your customer deal pricing recommendations. Once they see how AI-powered pricing shortens approval cycles, enables them to price quickly and accurately, and helps identify new opportunities, they'll be hooked. Alex Smith has over 10 years at PROS helping companies Outperform in pricing & sales effectiveness across all our industries and regions.
Andreessen-Horowitz has always been the most levelheaded of the major current year VC firms. While other firms were levering up on "cleantech" and nonsensical biotech startups that violate physical law, they quietly continued to invest in sane companies (also hot garbage bugman products like soylent). I assume they actually listen to people on the front lines, rather than what their VC pals are telling them. Maybe they're just smarter than everyone else; definitely more independent minded. Their recent review on how "AI" differs from software company investments is absolutely brutal.
New York (CNN Business)Clearview AI, a startup that compiles billions of photos for facial recognition technology, said it lost its entire client list to hackers. The company said it has patched the unspecified flaw that allowed the breach to happen. In a statement, Clearview AI's attorney Tor Ekeland said that while security is the company's top priority, "unfortunately, data breaches are a part of life. Our servers were never accessed." He added that the company continues to strengthen its security procedures and that the flaw has been patched.
Seyfarth Synopsis: As companies face increasing competition for the best talent within the marketplace, a growing number of businesses are turning to artificial intelligence and data driven strategies to more effectively identify and evaluate potential employees. The first installment of our artificial intelligence series will focus on some of the ways that employers are using these technologies in the area of talent acquisition. Business has always been in a search for "the next big thing." Something to give them an edge over competitors or allow them to anticipate shifts in the marketplace before they happen. Companies who moved from hand production to large-scale manufacturing were able to dominate nascent markets around the turn of the 20th Century.
The Consumer Technology Association rolled out a new standard for the use of artificial intelligence in healthcare. The standard, based on discussions between more than 50 different healthcare and technology firms, will create a common foundation for new projects using these technologies. The new standard created common definitions for often-debated terms, including de-identified data, remote patient monitoring, and assistive intelligence. It also created guidance to improve the integrity of data used to develop these tools, and to make AI more "trustworthy" by reducing bias. "AI will play a major role in driving efficiency in healthcare and will support clinicians in making more precise diagnosis, offer personalized treatment and better guidance towards improved outcomes," Pat Baird, co-chair of the working group and regulatory head of global software standards at Philips, said in a news release.
What if machines start managing end-to-end projects on your behalf? Watch this insightful on-demand training video that talks about how artificial intelligence is going to transform project management tasks. Some of these include Healthcare, Automotive, Financial Sector, IT & Telecom, Transportation & Logistics, Retails & Consumer, Energy, and much more. NetCom Learning helps build innovative learning organizations in the workplace by structuring a smarter workforce, supporting changes, and driving growth. Since 1998 we have been empowering organizations to reach optimal performance results and address challenges by managing all aspects of organizational learning.