Comcast Business Asks the Age Old Question, “What’s Beyond Fast?”

 

B. Shimmin

Summary Bullets:

  • During its 4th annual analyst conference in Philadelphia, Comcast Business unveiled a new and decidedly inscrutable go-to-market campaign entitled “Beyond Fast.”
  • Plying its ActiveCore platform and virtualized network functions (VNFs), Comcast Business hopes to move beyond basic network functions and reach actual business outcomes not just for big business but also for its core SMB broadband customers.

 

When it comes to delivering connectivity to enterprise customers, Comcast Business doesn’t work (or think) like your typical telecom operator — or cable provider for that matter. For Comcast Business it isn’t about scaling up but rather scaling outward; it’s about delivering managed enterprise networking services the same way Comcast the cable provider delivers entertainment. That means standing up a huge number of endpoints in rapid succession. The company’s goal is to provision a new Ethernet customer every three minutes and add a new cable customer every 17 seconds.

Continue reading “Comcast Business Asks the Age Old Question, “What’s Beyond Fast?””

Enterprise Data and Analytics Cloud Migration Priorities: Part Two

B. Shimmin

Summary Bullets:

  • When it comes to enterprise data and analytics investments among enterprise IT buyers, recent GlobalData research points to a future dominated by all things cloudy.
  • But, how are enterprise buyers prioritizing a move to the cloud based on their current stance on cloud vs. premises prioritization? We dive into a new survey of more than 3,000 IT practitioners to find out.

In last week’s blog post on the topic of cloud migration priorities among IT buyers, we dipped a figurative toe into our newly concluded survey of more than 3,000 global IT professionals and discovered that when it comes to big data and artificial intelligence (AI), the cloud reigns supreme. As an example, we found that big data platforms on their own saw a massive 19% increase in spending over the past year, with 69% of IT budget holders setting ‘cloud’ money aside for data at scale across the enterprise. Across the board, we expect a 13% increase in investments among those currently leveraging the cloud.

But, how does that compare to those not currently leveraging the cloud? Let’s find out. Continue reading “Enterprise Data and Analytics Cloud Migration Priorities: Part Two”

Service Provider Adoption of AI Poised to Pick Up Momentum

R. Bhattacharyya

Summary Bullets:

  • Artificial intelligence has the potential to profoundly impact the way companies conduct business, and telecom service providers are no exception.
  • Fifty-five percent (55%) of telecom service providers have already prioritized chatbots, machine learning, and deep learning; over the next two years, this number is expected to grow to 75%.

Few telcos are saying much about their artificial intelligence strategies, but enterprise customers have much to gain from working with a provider that incorporates the technology into its processes and solutions. Artificial intelligence has the potential to profoundly impact the way companies conduct business, particularly telecom service providers. From an internal perspective, it can be used to improve network management, operations, security, and customer support. Operators can use AI to add new features to existing products, or to bring entirely new solutions to market. All of this is good for customers, but the benefits don’t stop there. Service providers are well positioned to use their lessons learned with AI to help customers make the most of the new capabilities. Continue reading “Service Provider Adoption of AI Poised to Pick Up Momentum”

Enterprise Data and Analytics Cloud Migration Priorities: Part One

B. Shimmin

Summary Bullets:

  • When it comes to enterprise data and analytics investments among enterprise IT buyers, recent GlobalData research points to a future dominated by all things cloudy.
  • But how are buyers prioritizing specific areas of investment such as workloads, including BI, data warehousing, and AI? We dive into a new survey of more than 3,000 IT practitioners to find out.

As an industry analyst, when a new survey arrives at your doorstep, you greet it as you would the arrival of an old friend who’s been oversees exploring other cultures and climes. After the customary hugs and hellos, it’s instantly down to business. Where did you go? What did you see and learn? And so it was with our newly returned 2018 Global IT Customer Insight survey. Now in its sixth iteration, this annual survey plumbs the international depths of the IT buyer landscape to discover current and future buying priorities across a wide array of investment areas. Continue reading “Enterprise Data and Analytics Cloud Migration Priorities: Part One”

Megadeal Between Microsoft and Walmart Speaks More About Fast AI Than Global Scale

B. Shimmin

Summary Bullets:

  • Walmart’s announcement that it would use Microsoft’s cloud platform and desktop apps across its entire business looks to be a direct shot across the bow of Amazon, a direct counterpoint to Amazon’s own ‘All In’ marketing mantra.
  • Instead, this partnership speaks more to the operationalization and unification of synergistic technologies – AI, IoT, big data – as a means of speeding time to market for Walmart’s numerous customer engagement projects.

At first blush, Walmart’s announcement that it would use Microsoft’s cloud platform and desktop apps across its entire business looks to be a direct shot across the bow of Amazon the retailer and Amazon the provider of public cloud services with Amazon Web Services (AWS). Continue reading “Megadeal Between Microsoft and Walmart Speaks More About Fast AI Than Global Scale”

Release of AI-optimized Kunlun Chip a Game Changer for Baidu

R. Bhattacharyya

Summary Bullets:

  • During its AI developer conference, Baidu made several announcements that demonstrate how it is moving the Chinese AI market forward, but the release of its Kunlun chip stands out as a key move that repositions it in the not only the Chinese market, but also globally
  • With Kunlun, Baidu joins the ranks of a select few companies that not only offer an AI platform that helps enterprises deploy AI-infused solutions, but that have also developed their own hardware to maximize AI processing.

Baidu is hot on the heels of the likes of Microsoft and Google. Although already known as an ambitious player in the AI realm, primarily in China, the search engine provider hasn’t managed to establish itself as a major force in the space, until now. Earlier this month, Baidu announced that it is bringing to market an AI-optimized chip, called Kunlun.  With the move, Baidu joins the ranks of a select few companies that not only offer an AI platform that helps enterprises deploy AI-infused solutions, but have also developed their own hardware to maximize AI processing.  Continue reading “Release of AI-optimized Kunlun Chip a Game Changer for Baidu”

With AI Decisions, It Takes a Village

R. Bhattacharyya

Summary Bullets:

  • Successful AI projects take a village; project teams that include members from groups across the company are more likely to uncover the ‘what-if’ and ‘then what’ questions that are best addressed early.
  • GlobalData’s 2018 survey found that close to 40% of businesses include all affected parties in decisions related to big data and analytics solutions.

We’ve all heard that not only are machine learning (ML) algorithms time-consuming to develop and train, but that they also need access to vast data lakes and specialized data scientists. With these requirements, it’s no wonder that businesses tend to focus on identifying the skilled IT-centric resources required for undertaking an AI deployment. But AI isn’t just the playground of data specialists, successful outcomes take a village. Project teams that include members from different organizations across the company are more likely to uncover the ‘what-if’ and ‘then what’ questions that are best addressed early on. HR, legal, finance, customer service, operations, and other business units have much to contribute to a successful AI deployment. Continue reading “With AI Decisions, It Takes a Village”

Google I/O 2018: Did Google AI Just Pass the Turing Test?

B. Shimmin

Summary Bullets:

  • At Google I/O this week, Sundar Pichai walked attendees through a number of impressive implementations of AI, one of which showed how Google Assistant could book a haircut and make a dinner reservation via an unnervingly convincing conversation between human and machine.
  • What happens, then, if that assistant eventually learns how to pass itself off as you?

You know it’s spring when the cherry blossoms appear in force, the birds start singing in unison, and Google CEO Sundar Pichai takes the stage at Google I/O and nonchalantly demonstrates some new bit of technology that simultaneously manages to amaze and terrify. I’m talking about Google Duplex, an interesting blend of natural language understanding (NLU), deep learning (DL), and text-to-speech technology designed to do one thing: use AI to emulate at least one half of an actual human conversation. Continue reading “Google I/O 2018: Did Google AI Just Pass the Turing Test?”

Is Public Safety China’s New Export?

R. Bhattacharyya

Summary Bullets:

• Huawei showcased its Video Cloud Platform at its recent analyst event, touting its application for public safety.

• The company pointed to widespread adoption and success in China, but can it find a market for its solution overseas?

During Huawei’s Analyst Summit in Shenzhen, China, executive keynotes emphasized the role of artificial intelligence (AI) in the company’s vision to create a more connected, more intelligent world. The company’s vision is to use AI to improve people’s daily lives and to benefit society as a whole. Unlike some competitors, who often showcase the application of AI to improve the customer experience, or point to use cases that incorporate natural language processing or natural language generation, Huawei was keen to highlight its video strategy. The company has roughly 5,450 members of its staff involved in developing video solutions and eight research and development centers that focus on video technology (three in China, as well as sites in the US, France, Ireland, Russia, and Japan). Huawei envisions several use cases for the application of AI and video, including identification of abandoned objects, intrusion detection, crowd density monitoring, facial control/admission processing, and vehicle, facial, and physical attribute identification. Continue reading “Is Public Safety China’s New Export?”

It’s Time to Orchestrate AI Hardware for Maximum Effect

B. Shimmin
B. Shimmin

Summary Bullets:

  • There are many AI-savvy chipsets on the market right now, each fine-tuned to support specific AI workloads, development frameworks, or vendor platforms.
  • But, what if developers could flexibly combine AI-specific hardware resource pools on the fly, on-premises as well as online?

There’s certainly enough buzz in the industry right now about artificial intelligence (AI). If you look beyond the doomsday predictions of a machine uprising, the prevailing view is that AI is a literal Swiss Army knife of circumstance, able to cut through any and all problems, ready to assemble opportunity out of nothing more than data. It seems that every vendor has one or two machine learning (ML) and deep learning (DL) frameworks lying about. It’s no wonder. There’s TensorFlow, Caffe, Theano, Torch, and many, many more to choose from, most of which open source and are quite accessible to the broader developer community. Continue reading “It’s Time to Orchestrate AI Hardware for Maximum Effect”