Welcome!

Blog Feed Post

From Science to Art: Making Machine Learning Approachable

The high barrier to entry prevents many companies from tapping into the full potential of machine learning. But what if you could make it more accessible? 

We’re in the midst of a data explosion, with today’s enterprises amassing goldmines of information (25 quintillion bytes of data every day, according to some reports). But what exactly are they doing with this data? Considering the volume of data being collected is quickly becoming unmanageable, now is a good time to shift from manual machine learning to a cognitive approach. This enables businesses to better capitalize on their data and facilitate agile decision-making.

At this point, much of the discussion around machine learning has pivoted from adoption to how to simplify the adoption and implementation process. Many enterprises are looking to answer the question of how you break down the immensely tall barriers around data science so you can fully tap into the undeniable advantages machine learning has to offer.

Today, many businesses are simply collecting data, with little being done to translate it into usable intelligence. The data and people wind up trapped in siloes, and beyond that, any attempts at data analytics so far have usually been done on a limited scale. Generally speaking, these efforts were done with either one tool or one team, resulting in a very localized perspective of a much larger context.

For instance, a dashboard of results contains minimal traces of where insights have been sourced from, and a data table generated during one phase of a process may not be usable for any processes further down the stream. What enterprises actually need is for all involved users to be able to access the required intelligence so the necessary parties can leverage this insight to drive business goals.

From Inscrutably Scientific to Unbelievably Intuitive

The demand for machine learning is growing faster than ever before, and it’s currently one of the fastest growing disciplines of data science. Unfortunately, the barriers to entry in terms of cost and skill requirements are still as daunting as ever. This has led to a data scientist arms race, with enterprises frantically competing to woo, hire and retain expensive data scientists and engineers with fancy degrees to stay one step ahead. In fact, the number of job openings for machine learning engineers and data scientists far exceeds the availability—especially with so many already snapped up by industry titans like Google, Facebook and IBM.

So, where can you find these reclusive coders? It’s an understatement to even say it’s not an easy task.

But what if we flipped that equation on its head? Imagine if machine learning was no longer restricted to the world of genius-level data scientists and engineers—instead, it was open-source software that enabled non-coders and non-technical staff to access, build and deploy machine learning capabilities.

This would enable businesses to widen the practical application of machine learning to a much higher degree, while also lowering cost barriers. Everyone from developers to operations managers to business analysts to even business stakeholders would be able to cash in on the benefits of machine learning. 

You Don’t Need a PhD to Crack Machine Learning

We at the Progress DataRPM team believe that data science is not merely about the algorithms, it’s about the value that the algorithm generates. DataRPM democratizes machine learning and data science through an innovative platform that arms every employee in an organization—from frontline employees to the board—with seamless, complete intelligence. It also helps them leverage the power of cognitive analytics for existing business applications, while at the same time opening up opportunities for rapidly building cognitive applications.  

With this degree of accessibility, machine learning could spread to millions, or possibly even billions, of people. This means that companies no longer have to expend precious time and resources on attracting and hiring entire teams of expensive data scientists to write code. With pre-populated algorithms, parameters and configurations, you’ll eliminate the need for manual data science coding altogether. The machines themselves will be able to build models and predict outcomes, leaving your team free to spend more time analyzing and implementing the results.

With the cognitive approach to machine learning, several models can be built simultaneously, so processes that were once linear can now happen in parallel. This will not only save precious time, but also empower enterprises to amplify the scope of data investments. Deep, meaningful insights are extracted from each model and built by abstracting the required code, eliminating the need for manual coding. Thus, businesses can leverage the benefits of predictive analytics and insights while also monetizing their big data investments for a fraction of the time and effort they would’ve normally spent.

Read the original blog entry...

More Stories By Progress Blog

Progress offers the leading platform for developing and deploying mission-critical, cognitive-first business applications powered by machine learning and predictive analytics.

Latest Stories
So the dumpster is on fire. Again. The site's down. Your boss's face is an ever-deepening purple. And you begin debating whether you should join the #incident channel or call an ambulance to deal with his impending stroke. Yes, we know this is a developer's fault. There's plenty of time for blame later. Postmortems have a macabre name because they were once intended to be Viking-like funerals for someone's job. But we're civilized now. Sort of. So we call them post-incident reviews. Fires are ne...
The digital transformation is real! To adapt, IT professionals need to transform their own skillset to become more multi-dimensional by gaining both depth and breadth of a wide variety of knowledge and competencies. Historically, while IT has been built on a foundation of specialty (or "I" shaped) silos, the DevOps principle of "shifting left" is opening up opportunities for developers, operational staff, security and others to grow their skills portfolio, advance their careers and become "T"-sh...
This session will provide an introduction to Cloud driven quality and transformation and highlight the key features that comprise it. A perspective on the cloud transformation lifecycle, transformation levers, and transformation framework will be shared. At Cognizant, we have developed a transformation strategy to enable the migration of business critical workloads to cloud environments. The strategy encompasses a set of transformation levers across the cloud transformation lifecycle to enhance ...
Authorization of web applications developed in the cloud is a fundamental problem for security, yet companies often build solutions from scratch, which is error prone and impedes time to market. This talk shows developers how they can (instead) build on-top of community-owned projects and frameworks for better security.Whether you build software for enterprises, mobile, or internal microservices, security is important. Standards like SAML, OIDC, and SPIFFE help you solve identity and authenticat...
Lori MacVittie is a subject matter expert on emerging technology responsible for outbound evangelism across F5's entire product suite. MacVittie has extensive development and technical architecture experience in both high-tech and enterprise organizations, in addition to network and systems administration expertise. Prior to joining F5, MacVittie was an award-winning technology editor at Network Computing Magazine where she evaluated and tested application-focused technologies including app secu...
Mike is managing director in Deloitte Consulting LLP's Cloud practice, responsible for helping clients implement cloud strategy and architecture to drive digital transformation. Beyond his technology experience, Mike brings an insightful understanding of how to address the organizational change, process improvement, and talent management challenges associated with digital transformation. Mike brings more than 30 years of experience in software development and architecture to his role. Most recen...
Having been in the web hosting industry since 2002, dhosting has gained a great deal of experience while working on a wide range of projects. This experience has enabled the company to develop our amazing new product, which they are now excited to present! Among dHosting's greatest achievements, they can include the development of their own hosting panel, the building of their fully redundant server system, and the creation of dhHosting's unique product, Dynamic Edge.
Your job is mostly boring. Many of the IT operations tasks you perform on a day-to-day basis are repetitive and dull. Utilizing automation can improve your work life, automating away the drudgery and embracing the passion for technology that got you started in the first place. In this presentation, I'll talk about what automation is, and how to approach implementing it in the context of IT Operations. Ned will discuss keys to success in the long term and include practical real-world examples. Ge...
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by ...
CloudEXPO New York 2018, colocated with DevOpsSUMMIT and DXWorldEXPO New York 2018 will be held November 12-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI and Machine Learning to one location.
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...