• The seemingly immutable law of data gravity, which has kept most large-scale data stores tucked safely away behind the corporate firewalls, is no more.
• Cloud platform providers of all shapes and sizes are actively redefining such laws, showing that even the largest data warehouse can live happily in the clouds.
While attending the aptly named Domopalooza conference in Salt Lake City earlier this month, what struck me the most wasn’t the number of concerts, ski parties, parties and after party parties put on by the host, cloud-borne BI vendor Domo. Oh, that sort of thing is quite normal for the unconventional vendor from American Fork, Utah. I was instead dumbstruck to learn of the vendor’s seemingly crazy, all you can eat cloud business model. That’s right. Domo doesn’t care how much data you dump into its proprietary data warehouse or how many calculations, transformations, joins, etc. you perform upon said data. There’s just one price to pay, and that’s a simple, per user fee. Continue reading “Redefining the Law of Data Gravity, One Cloud at a Time”→
The IoT M2M Council aims to provide model RFPs and a guide to potential IoT platform vendors.
‘Paying to play’ raises questions over the true value of ‘independent’ platform reports.
Anyone who has to choose a software platform for their company’s grand IoT project should be relieved to know that help is nearly at hand. The London-based IoT M2M Council (IMC) is crowdsourcing from among its members a suite of ‘open source’ RFPs for companies that have to select IoT software platforms. It will also report on how different platforms stack up against the criteria in the model RFPs. IoT buyers will be able to use the RFPs as a template for procurement and the reports to short-list potential suppliers. Continue reading “Dazed and Confused by IoT Platforms? Help Is on the Horizon, but Buyer Beware”→
In contrast to HPE and Cisco, which have recently retreated from maintaining public clouds, IBM continues to assert its strengths as a public cloud provider.
IBM should build on its capabilities to deliver hybrid cloud solutions, while also preparing for strong competition from Microsoft, Dell EMC and VMware.
The cloud was the central theme at this year’s IBM InterConnect conference in Las Vegas, with IBM emphasizing the growing strength and competitiveness of the IBM Cloud, while also launching several new initiatives to support enterprise hybrid cloud deployments. These include a new strategic alliance with Red Hat that is intended to make it faster and easier for enterprises to deploy OpenStack-based hybrid clouds and the launch of a suite of tools for managing hybrid and multi-cloud environments – some of which utilize IBM’s artificial intelligence (AI) and machine learning engine, Watson, to offer predictive management capabilities. Continue reading “IBM InterConnect 2017: Hybrid Cloud Offers IBM the Best Chance to Differentiate”→
• Core network enhancements can benefit enterprises from a network performance and service cost point of view.
• Flexible bandwidth services and pricing models are maturing and are worth a second look.
In 2015 and early 2016, SDN was the buzzword du jour of the telecoms industry, but the attention has now shifted to SD-WAN. Perhaps this is inevitable since SD-WAN is the newer technology and is at the forefront of several recent or upcoming service launches from providers such as Telstra, Orange Business Services, and BT, amongst others. SD-WAN also seems to offer more tangible benefits to the average enterprise customer, particularly those with a large number of smaller sites, or those seeking to adopt virtualised network functions such as firewalls and session boarder controllers. Continue reading “SDN Offers Hidden Benefits That Enterprises Shouldn’t Overlook”→
• There will be a resurgence in the suite versus best-of-breed debate, as organizations look to simplify and rationalize their IT environments.
• A combined ‘best-of-suites’ approach is likely to dominate until vendors can eliminate redundant functionality and provide better integration within their single offering.
Recently, there have been some significant advances in the team collaboration space from Google and Microsoft. This burgeoning market has seen some early pioneers (e.g., Slack and Atlassian HipChat), garner considerable success; however, history oftentimes shows that latecomers grow to dominate markets and both Google and Microsoft have advantages that do not apply to the likes of these first movers. Google and Microsoft have significant customer bases, strategic partnerships, plus the combined assets of their respective G Suite and Office 365 services. Indeed, application and service integration is a key selection criteria for team collaboration apps and consequently, purchases are likely to be influenced by a customer’s preference for a specific office productivity suite vendor. Continue reading “Google and Microsoft: Suite Spots for Team Collaboration Apps?”→
Google made its play for the enterprise based on hefty investment abilities and innovation in app development platforms and data analytics.
Google says it’s doubling down this year, and already winning over half of its cloud deal bids.
Pitted against Microsoft Azure and Amazon AWS, Google understands its messaging needs to address its ability to cater to the mission-critical businesses of global enterprises embarking on new digital initiatives. In a word, it’s about innovation. That’s exactly what execs focused on this week during Google Cloud Next in San Francisco: a shift from consumer to enterprise apps that will carry large organizations into the next wave of cloud computing, which spans from high-level concepts around applications that leverage AI and machine learning to build apps that actually learn outcomes to emerging DevOps app development models and architectures. (Please see this Advisory Report for more coverage.) Continue reading “The Top Five DevOps Takeaways from Google Cloud Next”→
• Google wants to democratize AI and operationalize machine learning (ML) with the release of Google Cloud Machine Learning Engine, a platform that includes developer-friendly APIs and pre-trained data models.
• But what the company really needs isn’t just data, algorithms or even data scientists but instead a new breed of developers, who can build software that can anticipate outcomes.
It’s always the same at the end of a company’s keynote address. After all of the important messages have been conveyed and all of the product announcements have been made, a mid-level corporate mouthpiece will take the stage and provide the audience with some positive reinforcement of what went before. It’s like the closing credits of a film, something that may contain a nugget of interest to the cinephile. More often, it serves as filler, a thematic soundtrack to accompany attendees as they make for the exits.