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The IBM point of view: Big data and analytics on cloud

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Overview

Bob Picciano, senior vice president of the information and analytics group, explains the convergence of data and cloud and how it is fueling new forms of engagement.

Hear how IBM is uniquely positioned to guide enterprises through these seismic changes.

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Transcript

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Inc over the past year
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the pace of innovation IBM on behalf of our clients has accelerated
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the market is shifting to cloud is the foundation to accelerate innovation
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engage new constituents from developers to business professionals
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in this is fueling the peso moving data and analytics capabilities from
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on pram to the clout home
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well
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so we're making strategic investments bringing data
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and iCloud together the new capabilities that enable us to address challenges
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and do more for our client 0
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the first challenge is that developers want to innovate faster
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and use insights from data to create smarter mobile at
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but the complexity of managing the data sourcing preparing the data for
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analytics
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it's simply slowing them down developers can now in a bit faster with data and
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analytic services on IBM blue mix
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we've delivered eleven new data and analytic services ample next to help
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streamline the building of new classes about
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and do things like turning Internet of Things data into actionable insights
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and to protect actual cyberthreats when those data services IBM Cloud
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are no single database is a service gives developers a whole new way to
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develop applications
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making the task of managing data much easier and much faster
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%uh acabei a company well known for accelerating the power of the web in
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famous for their own internal innovation
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trying to our cloud databases service to rapidly deploy their globally
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distributed application environment the result
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ACA might reduce deployment time dramatically from months to days
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to make the app smarter another service IBM's dash TB data warehouse
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is tightly integrated with clouding so that an app transaction data seamlessly
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ready for analytics
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simply a touch of a button the world
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this makes it possible to build a mobile app they can be in bed with rich
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analytics
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developers can tap into even more data sources beyond the app itself
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using other services bike day works %uh
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%uh
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the second challenge is that business users want to apply advanced analytics
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to gain greater insight into what's happening right now
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and to protect the past actions to take for better outcomes
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and they want to spend less time gathering in preparing data for analysis
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they wanna spend more time putting the insights to work for the business
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%uh ok
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%uh IBM has developed self-service cloud-based analytics offerings
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aimed at addressing two different enterprise challenges
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problem-solving and workplace collaboration the solutions reimagine
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the user experience to deliver smarter way
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to get the job done first what an analytics
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which gives business professionals easy to use predictive
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in visual analytic tools powered by Watson
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and the cloud watchin analytics takes advanced analytics
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problem-solving capabilities that have been the mainstay of IT analyst
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and data scientist and it puts them in the hands the broadest base for business
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users
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for sales rep as an example this provides an easy way to quickly source
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complex data
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discover insights predict outcomes and visualize the result
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we also introduced IBM verse a new messaging and social collaboration
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offering embodies a smarter way to work
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with help from built-in analytics IBM first learn to individuals preferences
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and priorities over time
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so that the inboxes organized to prioritize for that individual
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an example is that forgiving person that may show the top five or so actions that
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they all
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or they wrote challenge number three
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is that organizations want to apply advanced analytics optimize the business
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their supply chains decline interactions and even manage the risk
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and yet they're limited by the data that they have on hand they know that
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relevant data exist outside the firewalls but it's often too complex too
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big
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or moving too fast for them to harness we have forged new partnerships
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and assigned a variety of cloud-based analytics solutions
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and the real magic in the solutions is when we pull data from a variety of
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sources
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both inside and outside the firewall and combine it with industry expertise in
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analytics
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joy global is deploying IBM's predicted Maynard solution on clout
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to gain real-time insights which predict potential machine failures
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and recommend preventative actions using advanced analytics
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and streaming sensor data the results for their clients will be improved
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productivity
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and reduce downtime costs another example
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is IBM's partnership a Twitter through this alliance users can
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source in analyze global conversation about products issues and trends
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that matter to their business to gain fresh insight
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imagine manufacturer can now use watchin analytics for service on Blu mix
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down allies tweet along with data from there own internal systems
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to gain deeper insight into what the build how the ship
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how they manage inventory and ultimately how they better engage clients
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and deliver greater customer satisfaction
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this is an exciting time and we're honor to be the partner of choice for our
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clients along this journey
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the opportunities for transformation at the intersection of data and cloud a
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tremendous
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to change everything from how we build products to the fundamentals of how we
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work
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every day 0