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) …
Disclaimer: The views expressed in this article are WireDelta's own and do not reflect the official policy of Cloudways. AI has become a mainstream business tool in many industries. From commercial banking to R&D, AI has simplified and streamlined processes on all levels. In fact, AI is also a key player in sectors where it is hard to imagine the use cases of AI based tools and platforms. Web development and design is one such area where AI is doing wonders.
We crafted a scalable, cost-effective approach for a new era of learning that puts the spotlight on --learning anytime, anywhere-- through digital technologies.-- With the Accenture Future Talent Platform, the client can now launch new services on its ecommerce site 75--percent faster than previously possible. The program will identify new roles and skills and build a training plan for a pilot, followed by a 40,000-person rollout. Accenture will also develop a curated, interactive curriculum for bank employees. Combining unmatched experience and specialized skills across more than 40 industries and all business functions -- underpinned by the world--s largest delivery network -- Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders.
Some of the hottest fields in business call for exactly the skills that the accounting profession offers, according to IBM's Leon Katsnelson. In a keynote address on artificial intelligence at CPA.com's 2017 Digital CPA conference, held in San Francisco in early December, Katsnelson, who is director and chief technology officer for strategic partnership for data science at IBM, introduced the accountants in attendance to two of the newest professionals on the block: data scientists and data engineers. Both of those jobs are only about five years old, he said, but are already in the top ranks in terms of compensation. "To be a data scientist, you need three things," explained Katsnelson. First are programming skills – not necessarily full coding capabilities, but a familiarity with the field.
Self-driving cars were once thought of as a far-off, and maybe even impossible, concept, but they're here now. At the end of November, General Motors announced its plan to launch a fleet of driverless cars -- without backup drivers -- across several major U.S. cities, beginning in 2019. In doing so, the auto industry signified that it's prepared to lead a dramatic shift in how both humans and commercial goods move from place to place. Of course, powering this initiative is data -- and likely exabytes of it. Driverless vehicles depend on data for everything from communicating their position on the road, to calculating speed and braking distances, to recognizing traffic signals and upcoming hazards in their path.
Like many of you, I thoroughly enjoyed Ali Rahimi's NIPS talk in response to winning the test-of time award for their work on random kitchen sinks. I recommend everyone to watch it if you haven't already. He says what Ali calls alchemy is in fact engineering. Although I think Yann ends up arguing against points Ali didn't make in his talk, he raises important and good points about the different roles that tricks, empirical evidence and theory can play in engineering. I wanted to add my own thoughts and experiences to the mix.
The customer experience in banking is about to get a lot more personal, as shown by an investment announced Wednesday in technology that will act as the "brain" behind AI financial services applications. Kasisto – a company that's behind a conversational AI platform about around a dozen financial institutions globally use – just completed a $17 million Series B funding round. It's yet another sign that customers' future interactions with their banks are more likely to be with non-humans. "It not only helps the bank become more informed of their end consumer, it serves the individual better, and in so doing reduces their cost structure and potentially generates additional revenue," said Patricia Kemp, co-founder and general partner of Oak HC/FT, the venture capital firm that led the funding round. "It's strategically important for banks to improve their mobile experiences and improve their online experiences."
The paper, which is the third edition released by the digital performance marketing agency, takes a look at how brands can make the most of machines in 2018, from facilitating seamless consumer experiences to delivering greater efficiencies. The agency interviewed 250 of their global clients, including FTSE 100 and Fortune 500 companies, and used the real-time feedback to outline key insights and priorities necessary for businesses to thrive in our fast moving, high expectation digital economy. Feedback showed that the transformative impact of Voice, AI, and Machine Learning is being felt across the entire business landscape with 55% of marketers surveyed agreeing that Machine Learning will allow them to make better decisions in 2018. Based on the feedback, the 2018 future focus whitepaper discussed the new machine rules including enhanced customer experience, how digital assistants are the new gatekeepers, how AI and machine learning transform marketing, how commerce is everywhere and the rise of Amazon as an'everything store'. "As we look towards an increasingly tech-enabled future, we believe success will be delivered by brands that can effectively leverage both advances in Machine Learning and the strengths of their human strategic capital," said Bowan Spanbroek, head of product and strategy in Asia Pacific at iProspect.
In the past few years, developments in technology have brought us closer to the hyper-connected world that futurologists imagined in the 1950s. Self-driving cars, computers that can converse in real-time and hyperloop transportation are among the developments that will shape our future beyond what we thought possible. Of all the major trends, the Internet-of-Things (IoT) is making the most visible and immediate impact and will be worth $270 bln by 2020. Connected devices, homes and vehicles are just around the corner, and as anyone with experience in the technology industry knows, this means a lot of second-order complexity will have to be solved. Economies, platforms and payment systems will have to be integrated.
Artificial intelligence (AI) comes in many shapes and sizes. No longer reserved for enterprises, small businesses can leverage conversational chatbot technology in particular for everything from sales and support to maximizing cash flow. It's time to embrace the chatbot revolution. For small to midsize businesses (SMBs), adding a dash of conversational intelligence to your organization is a great way to both drive customer engagement and help streamline your in-house operations with a contextual helper. Chatbots are embedded in all sorts of chat and collaboration experiences today, and you can find thousands of them in Facebook Messenger, WhatsApp, Slack, Skype, and a host of other applications and services we use to communicate and get work done.
Before you buy any "smart" gadgets, make sure they're not dumb. This holiday season, a third of Americans plan to buy a smart home device, according to the Consumer Technology Association. But just hooking up the Internet to a door lock, kettle or dog bowl (yes, that's a thing) doesn't make it smart. The trick is figuring out which ones are worth the cost, trouble and inevitable security risks. I've been in those weeds.