The convergence of algorithmic advances in multilayer neural networks, the evolution of PC graphics processing units as massively parallel processing accelerators, and the availability of massive data sets fueled by the Internet and widely deployed sensors — big data — has enabled a renaissance in software neural network modeling techniques commonly referred to as “deep learning,” or “DL.”
It gives some measure of the importance we give to AI that I went to two conferences last week and sat through two panel sessions on the subject. At CRM Evolution, I was part of the discussion in a breakfast session. At the Oracle CX show, executives involved in the adaptive intelligent applications product line tried to define the basics in a session for analysts and reporters.
They say it can take a product idea 10 years to go from concept to mass-market appeal but that might be only an optimist’s viewpoint. Some of the best ideas in CRM right now have been marinating for at least that long — and some for much longer. Two great examples are analytics and CPQ, which companies like Oracle, Salesforce and others have embraced with passion.
Although nearly every research study and industry survey suggests the Internet of Things market is growing rapidly, plenty of companies are holding back from pursuing IoT opportunities, for a variety of reasons. Ironically, the possibility of a long-overdue financial downturn in the next few years could force executives to put aside their apprehensions and finally launch new IoT initiatives.
Most people think they know what the term “artificial intelligence” means, based on the results of a survey Pegasystems released Tuesday. However, their responses suggested that they probably don’t fully understand how it’s being used today, including in the customer service realm. Researchers polled 6,000 adult consumers in the United States, the UK, the Netherlands, France and Germany.
Eighty-three percent of U.S. broadband households, or more than 250 million consumers, own and use a smartphone. A recent beneficiary to this mass adoption has been the sharing economy phenomenon, which includes sharing apps such as Uber, Lyft and Airbnb. These business models are augmented by real-time data including location, instant gratification, on-demand pricing, and easy payment options.
As the tug of war between humans and machines escalates, we’ve become witnesses on nearly a daily basis to events that suggest there won’t be an ultimate winner or loser in this existential battle for survival and supremacy. Just take two little human mistakes that recently received worldwide attention because of the power of today’s technology to magnify their impacts on a global scale.
We are just at the start of an enterprise renaissance where companies (and people) are hungry for a simple way to do work.
Wireless, telecom and pay TV — including cable, satellite and Internet services — are all on a growth trajectory, but each company is taking a different path. That means comparing them will be more difficult going forward. In the past, the companies in these sectors in many respects looked the same and offered nearly the same basic services. Looking forward however, things appear very different.
In the last decade or so, the tech industry has become increasingly political, which is different from being politicized. If I had to guess, I’d say that for the most part everyone is on the same page. However, many of the largest technology concerns have come to the realization that to protect their outlook, they need representation in Washington in the form of lobbyists.
There’s something to be said for consistency. Baseball Hall-of-Famer Tony Gwynn hit over .300 19 years in a row. The swallows have returned to Mission San Juan Capistrano every year since 1812. Richard Belzer played Detective John Munch in nine different television series over 23 years. Doing things well for a long time should earn you some attention for your efforts.
Apple on Tuesday alerted its development community that it will be raising prices on apps sold through its App Store in the United Kingdom. Several factors influence App Store price tiers internationally, including currency exchange rates, business practices, taxes, and the cost of doing business, Apple said, noting that the factors vary by region and over time. App Store price increases also are ahead for India and Turkey.
2017 promete incrementar aún más la digitalización de empresas, marcas y personas. Aunque parezca imposible, el marketing digital experimentará grandes novedades enfocadas todas ellas a la optimización del proceso de compra de los usuarios en internet, un proceso de compra que la tendencia natural, lógica y positiva de la tecnología favorece, a pesar de la alta […]
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