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) …
CES is a ruthless grind. As the largest tech convention in the world wraps up today in Las Vegas, thousands of attendees are engaged in one last push to make the most of a hectic week filled with problematic product launches, power outages, and too many sales pitches to count -- and they're dead tired.
The role of the chief information officer will change significantly in the next few years, driven by the growing adoption of artificial intelligence and by demands from cybersecurity. IT leaders are rapidly scaling their digital businesses, making the remainder of this year and 2018 a defining moment for CIOs that don't want to be left behind, according to research firm Gartner Inc.
With that mind, I decided to attend the "Building B2B Bots" session hosted by Dharmesh Shah, Founder and CTO HubSpot inbound marketing. The digital marketing whiz and noted startup angel investor led the conversation about bots and how they will affect how we'll do business in the near future. Why is there buzz surrounding chatbots? Decades ago businesses started building websites, now they will start building bots. Shah explained, "What 1997 was to Internet and browsers, 2017 is to bots."
What is the fundamental change in the marketplace today that is impacting on digital marketing strategies? I'm working with a talented, tight-knit team of interaction designers and developers, on a wide range of work from digital experiences, to service and product design for brands and international start-ups. What are your key learnings from your career in digital media and design - tips you can give clients? What are your key learnings from your career in digital media and design - tips you can give clients?
Marketers are learning to expect that platforms offer important insights pulled from layers of hidden data, make predictions about customers and know how to see a world of images, objects and sounds. So, we've seen the boom in efforts to make advertising more direct and transparent, such as the increasingly popular header bidding trend. In the past few months, for instance, people-based marketing was extended in a LiveRamp-based consortium, in Time Inc./Viant's marketing platform, and in a new publisher consortium from Sonobi. The same transparency urge behind header bidding and people-based marketing -- understanding what the deal is and who you're dealing with, whether marketer or customer -- is similarly driving General Data Protection Regulation (GDPR), a European Union-based consumer privacy initiative that could have a significant impact in the US and elsewhere.
FinTech startups are changing the financial services landscape as we know it. As FinTech enters the mainstream, federal and state regulation, cybersecurity, money laundering, and artificial intelligence (AI) will shape its future. Evolving regulatory trends will transform FinTechs' business models. In the US, the federal financial regulatory framework will undergo a series of radical changes. Congress is exploring ways to repeal provisions of the Dodd-Frank Act and federal financial regulatory agencies have received instructions to relax regulatory requirements.
Nonetheless, WWD asked IBM to discern key colors, trends and even comparisons among New York Fashion Week fall collections that resulted in a comprehensive report on its analysis. Additionally, IBM's Research Cognitive Fashion asset -- an app developed for the purpose of this report -- determined the main colors in each runway image. "Dominant colors for a collection of images were obtained using color trends asset from IBM Research's Cognitive Fashion [app]," the report said. IBM Watson deployed a visual recognition tool that analyzed recurring colors and silhouettes among other features.
AI is increasingly being used in everything and everywhere, most notably data centers for machine learning, where Nvidia's GPUs have a tremendous lead over the competition, including anything from AMD (AMD) and Intel (INTC). In reacting to the blow-out earnings results, Jefferies analyst Mark Lipacis called Nvidia essentially the only publicly traded company solely focused on AI. Of the aforementioned areas, perhaps the one that is most tangible to show consumers the AI revolution is autonomous driving. Tesla (TSLA) and CEO Elon Musk have pioneered autonomous driving in the Model S (though to which extent is up for debate), but Tesla has chosen to use Nvidia's chipsets to not only help it with its infotainment unit, but more importantly, the software that helps with autonomy, using the NVIDIA DRIVE PX 2 AI computing platform.
Mashable kicked off the year by doing what we always do: Flying to Las Vegas and scouring CES, the year's largest tech show, for the latest gadgets and tech trends. As expected, AI, dominated the show, with tons of new products adding Amazon Alexa support. The weirdest one might have been LG's Smart InstaView refrigerator. Do you really need Alexa in your fridge? We also saw a boatload of self-driving smart cars and futuristic car technology.
Data is having a tremendous impact on customer experience, and through enhanced insight is boosting customer profitability in the financial sector. But a great deal of risk currently surrounds retinal and fingerprint scans, as implied by the title of the recent Phys.org article "Retinal Scans and Fingerprint Checks: High Tech or High Risk?" And in the article, "Biometrics Continues Its Move into Financial Services," Paul Schaus writes: "About 50 financial institutions around the world are beginning to implement biometric authentication at their contact centers." Ryan cites Google Now, the Amazon Alexa Channel, Microsoft Cortana, Facebook's M and the Nuance Dragon Speech Recognition software as making significant improvements in voice recognition tools during the last five years.