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) …
Digital channels targeting the mass consumer market are helping insurers swell their client base without the need for traditional intermediaries – but at a cost. One cost is increased risk of fraud, global insurance fraud analytics firm FRISS said during an event in Chile outlining the results of the first fraud survey of its kind covering all Latin America. As technology develops and purchasing habits change, insurers are increasingly leveraging digital channels, allowing consumers to take out policies online, directly from an insurer, in a largely frictionless manner. The trend is forecast to continue in Latin America as insurers seek to keep costs under control, tap what is still an underpenetrated market, and stand out from the crowd. One consequence of this is the sidelining of brokers, whose detailed client knowledge can help prevent fraud, said FRISS, a Dutch firm that provides an AI-powered platform to help P&C insurers combat fraud and which carried out the survey of insurance companies.
Looking ahead, innovation leaders need to take a look at these tech trends that will drive business operations. FREMONT, CA: Technology is an essential part of our daily life. From the moment one wakes up until going back to sleep, everyone today relies heavily on technology. With the introduction of machine learning and artificial intelligence, enterprises have been able to automate several business activities. With the evolution of digitalization, the technology trends change, the choices change, and the demands change.
Salesforce is hoping to make AI an indispensable part of every business with a range of smart tools and platforms. At its Dreamforce 2019 event in San Francisco this week, the software giant unveiled a host of enterprise-focused services and tools it hopes will spur on AI adoption in companies of all sizes. Salesforce also unveiled its own-brand smart speaker (pictured above) modelled on its Einstein AI mascot, although whether it will go on general sale is still unclear. This growth in business-focused AI is set to be powered by a major expansion to Einstein Voice Assistant, which allows Salesforce users to communicate directly to the platform and get answers instantly. Einstein Voice Assistant is now able to be tailored to any particular industry, allowing for custom-built skills that can cover tasks from checking order history to sentiment tracking.
At Supercomputing 2019, Dell Technologies introduced several new solutions, reference architectures and portfolio advancements all designed to simplify and accelerate customers' high performance computing (HPC) and artificial intelligence (AI) efforts. Continued adoption of AI to solve real-world problems has spurred growth across the HPC industry. According to a recent report from Hyperion Research, the global HPC industry is expected to grow by 7,1% to more than $39,2-billion by 2023, and HPC-server based AI is expected to rise by more than 29% from 2018 to 2023, reaching $2,7-billion in 2023. "There's a lot of value in the data that organizations collect, and HPC and AI are helping organizations get the most out of this data," says Thierry Pellegrino, vice-president of HPC at Dell Technologies. "We're committed to building solutions that simplify the use and deployment of these technologies for organisations of all sizes and at all stages of deployment."
Our society relies heavily on digital devices and channels, and with that the concept of identity has quickly become the foundation of every customer interaction--particularly within the digital advertising ecosystem. In response to the emerging strategic importance of identity, Experian today announced a new innovative solution that uses the fusion of data and artificial intelligence, to help marketers connect Mobile Ad IDs (MAIDs) with digital and offline identity attributes to better understand their target audiences. Powered by Experian's vast data assets and identity platform, the new solution incorporates machine-learning algorithms, as well as deterministic and probabilistic techniques, to sift and connect billions of advanced identity signals and data elements, including MAIDs, from a wide variety of internal and external sources. The outcome of this process allows brand marketers to implement more effective analytics, audience segmentation and activation, and measurement capabilities. "Experian has always been a leader in identity resolution, helping brand marketers more accurately identify and understand customers, while also keeping customers at the heart of every marketing strategy," said Kevin Dean, Experian's president and general manager of Marketing Services, North America.
We hear about new smart technology all the time, from smart speakers to smart watches and even smart refrigerators. While smart products promise to make our lives better, how do we make them truly complement our lives? Beyond just personal and consumer devices, we now have more connected devices in our factories and businesses producing vast amounts of data from a burgeoning number of IoT devices. Such devices, including sensors, cameras, and wearables could be the key to making our workplaces "smarter." However, we must carefully leverage and interpret the vast amounts of data--if not, we risk data becoming a cost burden, adding more noise instead of providing insight and order.
In this article, we are going to discuss some top Machine Learning Frameworks that can be used for Web Development purposes. The following points emphasize the importance of support for machine learning web development. Using the advantage of Machine Learning, Computers are able to easily learn the algorithms provided that eliminate the need for explicit programming. This enables the creation of analytical models that provides the finest method for data analysis. All of these points prove the usefulness of Machine Learning in Web Development.
This will likely continue to cause confusion as newer entrants to the industry may only see a part of the whole. Today, you may model on enterprise tools if you work for large organizations that can afford them. You may model in a database environment if you are a DBA with MS SQL Server. You could call machine learning APIs and develop an'AI product' if you are a software engineer. You could build and deploy the same model on cloud platforms such as AWS Sagemaker or Azure ML Studio if you have familiarity with cloud offerings. And the list goes on. The net result may be fertile ground for misunderstanding and turf wars due to similar functionality being available in different forms. Against this landscape, the organizations that are able to build high levels of trust across disparate technical teams will be the ones who reap the full benefits of the toolkit available today.
I've been talking with the cognitive behavioral therapist chatbot known as Woebot a lot recently, and it's a little like talking to my mother. Not because of the whimsical anecdotes and GIFs the bot dispenses--that's not her style--but because of all the practical reminders to get out of my own way. Like the sensible woman who raised me, Woebot isn't big on protracted whinging or solicitations for pity, and its dogged optimism occasionally rubs me the wrong way. But they are both mostly right, my mom and the bot. More importantly, where a dose of practicality would do a person good, they are mostly helpful.
Over the next 12 months, almost 80% of companies who employ a chief information officer expect to increase their use of artificial intelligence and machine learning to further their corporate goals. According to Fortune, it surveyed more than 200 CIOs, and none expected to scale back their use of artificial intelligence. "As a whole there are massive opportunities to adopt new [A.I.] technologies," Ronell Hugh, the product marketing lead for Adobe's (NASDAQ:ADBE) Experience Platform, told Fortune. "Cloud infrastructure was a first step, now there is a lot of innovation in AI and how to use data in real-time for your business." Companies, big and small, are using AI to provide an advantage over their competition.