Welcome!

Mobile IoT Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Kevin Benedict

Related Topics: @CloudExpo, @DXWorldExpo, @ThingsExpo, @DevOpsSummit

@CloudExpo: Blog Feed Post

Beyond Big Data and @Benioff’s “AI Spring” to the Dawn of Dataware By @MattMcIlwain | @CloudExpo [#BigData]

Big Data, AI, Machine Learning, Hadoop, Predictive Analytics — we hear these terms every day

This article was authored by Matt McIlwain and was originally published on Medium. For more of Matt's writing, you can follow him here!

Guest Post: Beyond Big Data and Benioff’s “AI Spring” to the Dawn of Dataware

Big Data, AI, Machine Learning, Hadoop, Predictive Analytics — we hear these terms every day from companies such as Cloudera, Trifacta and Dato (formerly GraphLab) that are securing many millions in financing. I believe that 2015 will be the year when the conversation moves from Big Data to the Dataware stack. Over the past twelve months we have seen a lot of companies across the big data spectrum emerge and while the language can be the same, there are clear product categories that have emerged which describe the market opportunity and future growth.

This is the Dataware stack. Dataware is the combination of infrastructure, data intelligence systems that apply algorithms and machine learning to the data, and the applications enabled by data intelligence that are changing how we do business and how we live our lives every day. And startups dominate the Dataware landscape.

We are at the very start of the data revolution. The consumer world got there first. Apps that know who we are and where we are and some other data points about us help us do a myriad of things every single day. On the business side, there has always been a lot of data but now there is not only an incredible growth in that data, there is an active appreciation beyond business analysts for using data in near real time to improve products and services.

What we are seeing now is a huge shift that is infusing data into every piece of our lives and making every app and service smarter. We have started to see this blending of data with what were rather static services with recent announcements from companies such as Salesforce.com and Workday.

The Dataware Framework is how I look at this new world of software in the age of big data. Dataware includes an Agile Data Stack of components for modern data applications and services and a Continuous Data Loop that brings usable data in and out of the stack. The Agile Data Stack has three layers including the underlying enabling infrastructure, the data intelligence layer, and the data-infused applications and services that benefit from those underlying components. The Continuous Data Loop is the representation of how data is continually being ingested, cleaned, visualized, recycled and refined and put back into the mix for future predictions so that modern applications can deliver intelligence in increasingly dynamic and personalized ways.

While most traditional IT customers and vendors are making moves to deal with the growth of big data — Dataware is largely the territory of startups and early adopters across every layer of the data stack.

At first, new sources of data and data systems will enhance and extend existing technologies such as databases, data warehouses and business intelligence tools. The new technologies will help unlock value in legacy systems and structured data silos along with new types and structures of data sources. But, as the Dataware infrastructure, intelligence and methodologies mature, data-infused applications and services will be built from scratch to disrupt industries and business processes.

Dataware will introduce net new processes and intelligence into the world’s oil exploration, research for cancer cures, advertising optimization, and yes, choosing movies and friends.

Here are four key principles fundamental to understanding the impact that Dataware will have on the technology industry.

  1. Big Data and traditional structured data work together as a “hybrid” of inputs to feed data-infused applications and services and will complement each other as these applications get built.
  2. Enabling infrastructure, including new types of databases (Cassandra, MongoDB, Hbase,) and data execution “engines” (Hadoop/Map Reduce, Spark), are primarily enablers and less likely to be where value is captured (when compared to the relational database era) in the Agile Data Stack.
  3. The Data Intelligence layer is where data, algorithms, data models and “pipelines” intersect to turn data into insights. More value will be delivered and captured in this layer than historic data “middleware” and BI tools have captured in the past. Companies focused on the enabling infrastructure today are likely to try and move up the stack into the data intelligence layer.
  4. Data driven applications and services are distinguished across two dimensions. First, are the data insights being delivered to a machine or a human? Second, are data insights/predictions being delivered in real-time or a batch/offline mode? Real-time insights delivered directly to a human end-user are the most challenging ones to run at scale. And, they are the most challenging systems to create a continuous feedback loop that delivers both instant gratification to the customer and compelling insights to the service provider.

It’s clear that not every company in the big data arena will succeed. There will be a lot of failures and there is already a lot of confusion around language and markets. The companies that will succeed will make themselves a core component of the Agile Data Stack or the Continuous Data Pipeline and will build their footprint from there.

Dataware is one way to frame the major areas of opportunity in what Mark Benioff recently called the “AI Spring” or what Microsoft is promoting with services like AzureML. But many questions remain including where the most promising markets exist, when those markets will be ready for rapid adoption and who amongst startup-ups and incumbents will emerge as winners and losers. What we do know is that Dataware will dramatically impact the technology industry over the next decade.

Matt McIlwain is an investor in Seattle with Madrona Venture Group who invests in enterprise, cloud and Dataware companies. Dato is one of his investments.

Read the original blog entry...

More Stories By Skytap Blog

Author: Noel Wurst is the managing content editor at Skytap. Skytap provides SaaS-based dev/test environments to the enterprise. Skytap solution removes the inefficiencies and constraints that companies have within their software development lifecycle. As a result, customers release better software faster. In this blog, we publish engaging, thought provoking stories that revolve around agile enterprise applications and cloud-based development and testing.

IoT & Smart Cities Stories
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible. In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true ...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
DXWorldEXPO LLC announced today that "IoT Now" was named media sponsor of CloudEXPO | DXWorldEXPO 2018 New York, which will take place on November 11-13, 2018 in New York City, NY. IoT Now explores the evolving opportunities and challenges facing CSPs, and it passes on some lessons learned from those who have taken the first steps in next-gen IoT services.
"Space Monkey by Vivent Smart Home is a product that is a distributed cloud-based edge storage network. Vivent Smart Home, our parent company, is a smart home provider that places a lot of hard drives across homes in North America," explained JT Olds, Director of Engineering, and Brandon Crowfeather, Product Manager, at Vivint Smart Home, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
In an era of historic innovation fueled by unprecedented access to data and technology, the low cost and risk of entering new markets has leveled the playing field for business. Today, any ambitious innovator can easily introduce a new application or product that can reinvent business models and transform the client experience. In their Day 2 Keynote at 19th Cloud Expo, Mercer Rowe, IBM Vice President of Strategic Alliances, and Raejeanne Skillern, Intel Vice President of Data Center Group and G...
The current age of digital transformation means that IT organizations must adapt their toolset to cover all digital experiences, beyond just the end users’. Today’s businesses can no longer focus solely on the digital interactions they manage with employees or customers; they must now contend with non-traditional factors. Whether it's the power of brand to make or break a company, the need to monitor across all locations 24/7, or the ability to proactively resolve issues, companies must adapt to...
DXWorldEXPO LLC announced today that ICC-USA, a computer systems integrator and server manufacturing company focused on developing products and product appliances, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City. ICC is a computer systems integrator and server manufacturing company focused on developing products and product appliances to meet a wide range of ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...