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We're proud to be recognized alongside the most innovative companies in cognitive computing.
With a readership of more than 100,000 data professionals, Database Trends and Applications (DBTA) has become an authority on topics like big data, BI & analytics, data integration, cloud computing and more. And today, with the growing influence of cognitive computing on the industry, DBTA released its first cognitive supplement in its October issue and cited Progress as one of the 20 Cool Companies in Cognitive Computing in its inaugural list.
As DBTA states: “A new era of cognitive computing and machine learning is unfolding and its impact is already being felt across industries, from preventative maintenance at manufacturing plants and patient diagnosis at hospitals, to the rise of sophisticated chatbots ready to assist us across the connected world. Through the development of inexpensive options for storing and processing data, innovative open source tools, and sophisticated data platforms and cloud services, organizations of all types and sizes can tap into the value of intelligent systems and applications.”
At Progress, we are proud to stand alongside innovators like Amazon AI Services, Cloudera and MapR as we tackle this next frontier in computing. The trends driving cognitive computing are unstoppable. One factoid DBTA noted really stood out for me: “According to estimates, the IoT universe is on track to exceed over 25 billion devices by 2020. Right now, there are more things connected to the Internet than people on the planet. From home appliances and cars, to light bulbs and livestock, if you can attach a sensor to it, it can be become part of a universe of physical objects able to communicate and interact digitally.”
That statement mirrors what we are doing at Progress, particularly in the area of predictive maintenance. The cognitive predictive maintenance solution from Progress DataRPM automates data science so that organizations of all sizes can gain control over the torrent of sensor data coming from machines. The key to this is that the machine learning process is unsupervised, democratizing data science by requiring far fewer data science resources to generate insights from your data.
DBTA also noted the importance of great UI, saying: “To fully deliver value, these systems also need to be able to easily interact with both their human and machine colleagues. For humans, that typically means speech and text. The rise of cognitive business applications that deliver a more engaging user experience is a key development in this area, as well as continued advancements in natural language processing.”
That again reflects the direction of Progress, where we are determined to deliver immersive experiences that include but also transcend web and native apps, involving emerging channels like AR/VR and chatbots. Even as we deliver the immersive experience of today, we’re determined to be ready for what’s next.
DBTA estimates that the market around cognitive computing and products will reach $46 billion over the next few years and intelligent applications “will spread like wildfire transforming our lives at work and home.” We agree, and have been thinking a lot about how cognitive machine learning works and why now is the time for businesses to implement it. We’re in the early stages of this journey and we’re proud to have received this recognition as we help our customers and partners reap the opportunity this new age of computing will bring.
You can read more about why we feel future applications must be cognitive-first, as well as see the full list of DBTA’s Cool Companies, at the link below.
Mark Troester is the Vice President of Strategy at Progress. He guides the strategic go-to-market efforts for the Progress cognitive-first strategy. Mark has extensive experience in bringing application development and big data products to market. Previously, he led product marketing efforts at Sonatype, SAS and Progress DataDirect. Before these positions, Mark worked as a developer and developer manager for start-ups and enterprises alike. You can find him on LinkedIn or @mtroester on Twitter.
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