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Dunkin' Donuts' accelerated journey to targeted marketing | #splunkconf16

Dunkin' Donuts' accelerated journey to targeted marketing | #splunkconf16

Many of us would never dream of forgetting our coffee on our daily rush to work in the morning. Sometimes, though, we may be forced to forgo our beloved cup of joe due to the long line of fellow coffee enthusiasts. Dunkin’ Donuts has been working to fix this exact issue with a new mobile app. This app now allows customers to order before arriving, saving time. Coffee lovers can choose which store they’re going to and even if they’re going to pick it up at the drive through or in-store. Matt Kraft, architect of Retail and Mobile Technology at Dunkin' Brands... more »
Google says it’s almost cracked the translation code

Google says it’s almost cracked the translation code

In the beginning there was Google, and Google created Google Translate. At the time the internet was pretty much void of digital translation tools, and as time progressed the tool could be very useful, but it could also be catastrophic if one had serious work to do. This led, and still does, to a lot of half-believers in online transition tools. That was then, days of relative darkness concerning artificial intelligence. Google this week announced that it has created something, an A.I. translation tool called the Google Neural Machine Translation system (GNMT), that is 60% more accurate than the Google Translate... more »
Dot-com survivors adjust to the Big Data age | #splunkconf16

Dot-com survivors adjust to the Big Data age | #splunkconf16

For all of the attention garnered by fresh startups in the tech world, the companies that managed to survive the bursting of the dot-com bubble can have success stories that are just as dramatic, if not more so. And as some of these survivors are finding, to continue on in the modern tech world, they'll need to take the risk of rebuilding themselves from bottom to top. At this year's Splunk.conf event, Tom Gerhard, VP of Performance Engineering at priceline.com (part of The Priceline Group), joined cohosts John Walls (@JohnWalls21) and John Furrier (@furrier), cohosts of theCUBE, from the SiliconANGLE Media team, to... more »
Nurturing customer ecosystems by engaging in user-friendly solutions | #splunkconf16

Nurturing customer ecosystems by engaging in user-friendly solutions | #splunkconf16

Today at Splunk.conf 2016 event in Orlando, FL, Splunk, Inc. revealed several new products on stage, all of which portray the company's deepening engagement with enterprises. Splunk's VP of Product Marketing Shay Mowlem sat down with John Furrier (@furrier) and John Walls (@JohnWalls21), cohosts of theCUBE, from the SiliconANGLE Media team, to discuss Splunk's latest innovations. A focus on customer relationships Mowlem said that Splunk's ethos rests in a maniacal focus on customer relationships and success. "We've made this a priority to nurture that," he said. "There's a constant nurturing of your ecosystem so that people can become more familiar with your products and services." It's this focus... more »
Panelists reveal how to clear the murky waters of the data science world | #BigDataNYC

Panelists reveal how to clear the murky waters of the data science world | #BigDataNYC

The data science world is a strange place. No one is entirely sure what data science means or what data scientists should do. People come to the field with different skills and a wide variety of experiences. In fact, the field requires such a broad array of skills that it’s better suited to teams than individuals. While the insights delivered by data science are vital to modern business, the field itself has yet to settle into a defined shape. To learn more about the data science field and the people inside it, Dave Vellante (@dvellante) and James Kobielus, host and guest... more »
Overcoming the limitations of “app real estate” | #splunkconf16

Overcoming the limitations of “app real estate” | #splunkconf16

As data-mining, the Internet of Things and various other utilizations of advancing tech push and blur the boundaries between intended app design and their full functionalities, the battle for consumer attention is driving the development of nexus platforms beyond the business realm and into the hands of regular users. At this year's Splunk.CONF event, Chris Kammermann, senior infrastructure engineer at Shazam Entertainment Ltd., joined John Walls (@JohnWalls21) and John Furrier (@furrier), cohosts of theCUBE, from the SiliconANGLE Media team, to talk about the options open to Shazam's app, the limitations of “app real estate” and how Kammermann sees the possibilities expanding. Recognizing... more »
Entertainment company uses Big Data to enhance marketing | #BigDataNYC

Entertainment company uses Big Data to enhance marketing | #BigDataNYC

As the playing field for cable and broadcast media evolves, companies that deliver the content available through them have been forced to adapt. Not only is the medium that is used to offer that content itself changing, but so are the ways in which it is being delivered. Shiv Sehgal, product manager of the Media Mantra Platform at RSG, Inc., and Daniel Hernandez, VP Information Integration Governance at IBM, sat down with Dave Vellante (@dvellante) and George Gilbert (@ggilbert41), cohosts of theCUBE, from the SiliconANGLE Media team, at the BigDataNYC 2016 event at the Mercantile Annex in New York, NY. The discussion included the metamorphosis the media content and broadcast industry... more »
Messaging mayhem: Slack rival Facebook at Work coming soon

Messaging mayhem: Slack rival Facebook at Work coming soon

In yet another addition to a growing roster of business-oriented social networks, Facebook at Work will launch next month, according to several reports. Facebook has been testing its enterprise messaging competitor to the likes of Slack Inc. and Microsoft Corp.'s Yammer and Skype since early 2015 with some 400 or so customers. A Facebook executive told The Information that the company will charge companies per monthly user rather than offering it free but charging for additional services such as connections to other apps. That puts the service in line with the pricing method of enterprise messaging phenom Slack, which charges about $6.67... more »
Key benefits of working with a data tech partner | #BigDataNYC

Key benefits of working with a data tech partner | #BigDataNYC

Most businesses have better things to do than mess around with technology. While it’s true that data and technology are transforming every aspect of business, the average company simply doesn’t have the people or the expertise to upgrade their infrastructure to the latest and greatest. That’s when it’s time to reach out to a partner for help. IBM has positioned itself to be a partner of choice for the digital revolution, according to Kevin McIntyre, WW client success leader, Analytics Cloud Sales, at IBM. McIntyre and Nik Green, director of Business Intelligence and Data Management at Delhaize America, spoke to Dave Vellante (@dvellante)... more »
Operating vroom: Cutting the time and talent needed to get from insight to app | #BigDataNYC

Operating vroom: Cutting the time and talent needed to get from insight to app | #BigDataNYC

It's slim pickings out there for those seeking highly skilled data talent. Even as universities introduce data science tracks and organizations spring up to enable networking, the average enterprise still struggles to juice the work of 10 data scientists out of the one or two they may have on deck. Until the output of the academies and training grounds catches up to the demand of the real world, companies will have to look for software tools that think and act like flesh and blood data scientists. Ritika Gunnar, VP of Data and Analytics at IBM, spoke to Dave Vellante (@dvellante) and George Gilbert (@ggilbert41),... more »
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Premium Research

- David Floyer

Industrial IoT, the largest segment of the Internet of things (IoT) with the highest potential value, will require a deep integration between modern IT (Information Technology) and OT (Operations Technology). Modern IT technologies, to be truly extensible to OT, will need a hybrid cloud approach, with by far the majority of data and processing residing at the so-called "Edge". Architectures and software written by industrialists for industrialists, such as GE Predix, are showing how that can work.

- George Gilbert

The big data arena is at a crossroads. Use cases and tools are proliferating faster than most big data teams are gaining experience. In establishing the big data business capabilities required to cut through the complexity, CIO’s must balance the accessibility of integration of traditional SQL DBMS’s versus speed of innovation in the mix and match open source big data ecosystem.

- Peter Burris

In the big data domain, businesses are trying to solve complex problems with complex and novel technology -- and often failing. Simplifying the packaging of big data technologies will streamline big data pilots and accelerate big data time-to-value. CIOs looking to establish differentiating big data capabilities need to consider Single Managed Entities to help solve the complexity problem.

- David Floyer

Oracle M7 technology is meeting or exceeding the announcement performance claims against previous generation. Even taking very conservative assumptions, the business case for migration from T5 to T7 servers is good. Wikibon concludes that for Oracle software and the servers they run on, the adoption of M7 technology (and T7 server technology) is best practice for these high value compute areas.

- David Floyer

The premise tested in this research is that high value applications and software should be run on more capable converged performance-optimized infrastructure, even when they constitute a small proportion of the total workload. In contrast, cost-optimized infrastructure will save on short-term hardware costs, but will incur much higher overall costs long-term. The conclusion strongly recommends IT executives adopt a default of performance-optimized converged infrastructure for all mixed workloads when even a small proportion includes high-cost software and/or high-value applications.

- George Gilbert

Big data pros need to identify which data feedback loops in their machine learning applications can deliver sustainable differentiation through network effects. Starting early is critical because getting to scale is likely to create the "winner takes most" competitive dynamics that have become so common in tech industries. The biggest sin is to wait for the tooling to become automated enough for all competitors to jump in.

- Ralph Finos

The public cloud competitive environment remains turbulent, but sectors show signs of crystallizing a longer-term market structure.. SaaS remains turbulent with SaaS vendors successfully gaining share vs. incumbent licensed software providers who must migrate their core products to cloud-friendly offerings and/or acquire native SaaS applications to shore up their applications leadership positions. Public cloud IaaS segment leadership is crystallizing to a handful of viable providers as a function of scale requirements. PaaS is just formulating and finding its way, but is likely to gravitate towards a wide variety of development models suited for different application types and public cloud platforms.

- David Floyer

For enterprise executives trying to achieve aggressive RPO and RTO SLAs , Wikibon believes that batch backup appliances (PBBAs) will give way to real-time, continuous data protection systems that aggressively support very large memory application memory. Practitioners requiring close to RPO zero and aggressive RTO SLAs should plan for an integrated data protection approach that effectively eliminates the concept of storage-led backup and shifts thinking to a application-led virtual point-in-time recovery model. The database and file system vendors will be the predominant suppliers of this technology, and understanding their roadmaps and commitment to support application-led recovery strategies is crucial to both database and data protection technology selection.

- George Gilbert

Mainstream enterprises are beginning to deploy machine learning applications that add differentiation to traditional products and services. But the complexity of their big data infrastructure is becoming a problem. Big data pros need to deploy a digital business platform (DBP) to support modern applications and then extend the DBP to machine learning applications.

- Peter Burris

IT shops that want to achieve modern IT status will have to address the "IT iron triangle" constraining transformation.