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![]() From the Blogosphere Meta-Learning | @CloudExpo @ProgressSW #BigData #AI #ML #DX #Analytics
There are many solutions that claim to democratize analytics, but they are really constrained
By: Progress Blog
Sep. 16, 2017 02:00 AM
There are many solutions that claim to democratize analytics, but they are really constrained. A meta-learning approach democratizes without limits. The democratization of analytics has become a popular term, and a quick Google search will generate results that explore the necessity of empowering more people with analytics and the rise of citizen data scientists. The ability to easily make better use of your (constantly growing) pool of data is a critical driver of business success, but many of the existing solutions that claim to democratize analytics only do so within severe limits. If you have a complex business scenario and are looking to get revolutionary insights using them, it’s easy to come away disappointed. However, the democratization of analytics isn’t just a buzzword that refers to a narrow approach. It’s possible to do so much more. Let’s quickly review the current state of the market that you’re likely familiar with, and then dive into our proposed solution. Lightweight Solutions that Oversimplify Narrowly Defined Analytics as a Service Cloud Environments that are only a Framework But What about More Sophisticated Business Scenarios? Why? Because the Machine Learning or Data Scientist lifecycle is complex. A successful implementation includes a business requirements phase, data preparation, data modeling, and production deployment work. The last three phases are particularly resource intensive.
It’s pretty clear that this is a completely different challenge that the options described above can’t address. While there are cloud options that will manage the infrastructure, and there are tools that make the data scientist more efficient, there is a dearth of solutions that tackle the democratization of complex Machine Learning. The need for democratization is driven by the amount of time and resources it takes to do this manually—even with a team of data scientists. And for those that don’t have data scientists, this is a non-starter given traditional tools and solutions. Enter Machine Learning and Meta-Learning Progress DataRPM is designed specifically to meet this need. By developing an innovative machine automated approach, we are able to automate a range of complex tasks that the other solutions above simply can’t.
This solution allows your team to focus the most strategic and actionable part of the process, which is analyzing and assessing the results. Whether you currently employ data scientists or not, it reduces the amount of time you need to allocate to evaluating and creating complex models. Rather than constrain analytics and generate a simple or limited result, the meta-learning approach looks fully at the unique problems facing your business, is flexible enough to be adapted to new problems as they arise and is constantly improving. By automating some of the most arduous components of data analysis, you’re free to focus on delivering the insights and outcomes you need—quickly. It's all part of our cognitive-first vision for business applications. You can learn more about our platform for cognitive predictive maintenance here. Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Download Show Prospectus ▸ Here The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Track 1. Enterprise Cloud | Cloud-Native Cloud Expo | @ThingsExpo 2017 Silicon Valley Cloud Expo | @ThingsExpo 2018 New York Download Show Prospectus ▸ Here Every Global 2000 enterprise in the world is now integrating cloud computing in some form into its IT development and operations. Midsize and small businesses are also migrating to the cloud in increasing numbers. Cloud Expo is the single show where technology buyers and vendors can meet to experience and discus cloud computing and all that it entails. Sponsors of Cloud Expo will benefit from unmatched branding, profile building and lead generation opportunities through:
For more information on sponsorship, exhibit, and keynote opportunities, contact Carmen Gonzalez by email at events (at) sys-con.com, or by phone 201 802-3021. The World's Largest "Cloud Digital Transformation" Event @CloudExpo | @ThingsExpo 2017 Silicon Valley @CloudExpo | @ThingsExpo 2018 New York Full Conference Registration Gold Pass and Exhibit Hall ▸ Here Register For @CloudExpo ▸ Here via EventBrite Register For @ThingsExpo ▸ Here via EventBrite Register For @DevOpsSummit ▸ Here via EventBrite Sponsorship Opportunities Sponsors of Cloud Expo | @ThingsExpo will benefit from unmatched branding, profile building and lead generation opportunities through:
For more information on sponsorship, exhibit, and keynote opportunities, contact Carmen Gonzalez (@GonzalezCarmen) today by email at events (at) sys-con.com, or by phone 201 802-3021. Secrets of Sponsors and Exhibitors ▸ Here All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Delegates to Cloud Expo | @ThingsExpo will be able to attend 8 simultaneous, information-packed education tracks. There are over 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content. Join Cloud Expo | @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and 'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Financial Technology - or FinTech - Is Now Part of the @CloudExpo Program! Accordingly, attendees at the upcoming 21st Cloud Expo | @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses. FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry. FinTech is a natural fit with cloud computing, as new services are quickly developed, deployed, and scaled on public, private, and hybrid clouds. More than US$20 billion in venture capital is being invested in FinTech this year. @CloudExpo is pleased to bring you the latest FinTech developments as an integral part of our program, starting at the 21st International Cloud Expo October 31 - November 2, 2017 in Silicon Valley, and June 12-14, 2018, in New York City. @CloudExpo is accepting submissions for this new track, so please visit www.CloudComputingExpo.com for the latest information. Speaking Opportunities The upcoming 21st International @CloudExpo | @ThingsExpo, October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY announces that its Call For Papers for speaking opportunities is open. Submit your speaking proposal today! ▸ Here About SYS-CON Media & Events Cloud Expo®, Big Data Expo® and @ThingsExpo® are registered trademarks of Cloud Expo, Inc., a SYS-CON Events company. Latest AJAXWorld RIA Stories
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