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) …
Berlin-based LoRaWAN manufacturer MatchX released the EdgeX AI Development Kit, set to improve both LoRaWAN and NB-IoT capabilities around the globe. EdgeX has been specifically designed to be programmed with an embedded artificial intelligence capable of analyzing everything from human emotions to city traffic patterns and street maintenance requirements. Unlike other devices, EdgeX completes its analysis on the device, transmitting the analysis results over a LoRaWAN or NB-IoT connection to ensure the utmost privacy of passersby. LoRaWAN and NB-IoT are low-power wireless solutions with limited bandwidth. Because of this, sensors using these networks can function for up to ten years on a single battery.
Meet Ajay – he had completed his Civil Engineering 10 years back. He was then hired by one of India's largest IT services companies out of college. He started his career in a high growth industry and accordingly Ajay grew in his career. He also got married during this time and has a daughter. While everything on the surface looked fine, Ajay started feeling the heat.
SAN FRANCISCO (Reuters) - Alphabet Inc's (GOOGL.O) Google has signed its biggest cloud computing customer in healthcare to date, in a deal giving it access to datasets that could help it tune potentially lucrative artificial intelligence (AI) tools. Google and Ascension, which operates 150 hospitals and more than 50 senior living facilities across the United States, said the healthcare provider would move some data and analytics tools in its facilities to Google's servers. The deal was mentioned in Google's July earnings call, but drew scrutiny on Monday after the Wall Street Journal reported on.wsj.com/2q3WCer that Google would gain personal health-related information of millions of Americans across 21 states. The Journal reported that the data involved in the project includes lab results, doctor diagnoses and hospitalization records, among other categories, and amounts to a complete health history, along with patient names and dates of birth. Google said in a blog post on Monday that patient data "cannot and will not be combined with any Google consumer data."
Rapid technological development in the fields of big data, algorithmic development, connectivity, cloud computing and processing power have made the performance, accessibility, and costs of AI more favorable than ever before. The emergence of technologies such as artificial intelligence, machine learning and blockchain has transformed the chaotic and fragmented logistics market. AI is now following a similar path. It has now become an integral part of every future software system. In an increasingly complex and competitive business world, companies that operate global supply chains are under unprecedented pressure to deliver higher service levels at lower costs.
The retail industry in India, and globally, has been in a state of flux. With the euphoria around e-commerce having tempered, online retailers understood the importance of selling through stores even as offline players realised how significant the internet is for future growth. Yet, despite acknowledging the importance to co-exist through an "omnichannel model," most Indian retailers have not managed to successfully crack the code of offering shoppers the best of both worlds. But there's some inspiration they can take from Tesco, UK's leading supermarket. The 100-year old company operates in nine markets, including China, India, Malaysia, Poland, and Slovakia.
Looking for a valuable way to use your data? With anomaly detection, you can use it to stop a minor issue from becoming a widespread, time-consuming problem. By proactively detecting abnormal behavior, your company can ensure the right people are alerted to unexpected changes and are able to make faster decisions about what actions need to be taken. Join us for this "ask me anything" webinar to hear from a panel of data scientists on the basics of anomaly detection, common use cases, and some key techniques to keep in mind as you get started. We've got the answers to all your questions about anomaly detection.
While big data has long been harnessed by leaders across virtually every industry to make key business decisions, today, the field is a proven and established subset of tech. With an ever-growing list of professions and use-cases surrounding big data, trends have emerged in how that data is collected, organized and used. Obviously, developments in big data mean different things to different companies. We spoke to data pros at 11 tech companies to learn more about the big data trends they're keeping up with and how they're impacting business operations. Trusting one's gut is a practice that can lead to success in many professions. But data science is not typically seen as one of them, since trusting numbers is generally considered safer than trusting instincts. However, Data Science Manager David Thompson at Pareto Intelligence said that sentiment is changing. The leader at the healthtech company said intuition plays an increasingly large role in how industry pros work with big data. What are the top big data trends you're watching that are significantly impacting the industry? Lately, and rightfully so, there has been a significant focus on social determinants of health -- the conditions in which people are born, grow up, live, work and age that impact health status.
You might have years and years of equilibrium, with little improvements here and there, and then all of a sudden a massive technology and/or business model change takes us to a new level. For example, the taxis of 1950 looked a lot like the taxis of 2010. Then along came ride-sharing apps. Now, as we look forward to self-driving cars, I would say that the "rent-a-ride" market is in the middle of an explosion of rapid change – how it will end, we don't know. Looking at how technology has changed the healthcare industry, I would argue that we have already had one explosion of rapid change, and we are in the middle of a second one now.
EPISODE SUMMARY Shir Meir Lador, data science team lead at Intuit in Israel, develops machine learning models for security, risk and fraud in products like Quickbooks, Turbo Tax and Mint. EPISODE NOTES In addition to her job at Intuit, Lador is a WiDS ambassador in Israel, has her own podcast about data science, and is a co-founder of PyData Tel Aviv meetups. Lador's team at Intuit focuses on machine learning in security and fraud applications to protect customers' sensitive financial data from fraudsters and hackers. She and her team use anomaly detection and semi-supervised methods to secure Intuit products and data. "In general, putting AI into products is not an easy task."
People want a health care experience to be like other transactions in their lives – simple, personalized, seamless, and transparent. At Cambia, we see incredible promise in technology improvements in recent years that are helping bridge major gaps in the health care experience, particularly through Big Data. Artificial intelligence and machine learning (AI/ML) offer tremendous promise for helping consumers when it comes to personalization. Through AI/ML, systems learn from data, identify patterns and help users make decisions based on their own highly-personal, unique financial, emotional, and social circumstances. Combined with human touch and empathy, AI/ML can help deliver a better health care experience to people over their lifetime, and at life's most critical moments.