It seems that we’re reaching the point where the Internet of Things (IoT) is moving from the domain of enthusiastic early-adopters to the more challenging, more profitable territory of mainstream enterprise technology. Event-driven architectures are playing a key role in these types of applications
If you read a lot of development blogs nowadays, you’ll probably notice a common theme: developers don’t want to deal with databases. They want to focus on designing, building, testing, and deploying applications that deliver value to the business as quickly as possible.
Big data isn’t just getting bigger. It’s getting more valuable. As companies work to unlock more value from their data, one of the biggest challenges to address is disconnected data silos. Big companies don’t have one data lake, they have data lakes, ponds and pools.
Recently, I had the honor of speaking with a number of the world’s most influential thought-leaders in the fields of data science, data analytics, machine learning and digital transformation. This group of prominent data technologists was more than happy to answer a wide variety of question on
Dez Blanchfield talks with Data Scientist & author Lillian Pierson about our Fast Track Your Data 2017 event in Munich, sharing general thoughts on the key themes and topics, in particular how organizations can secure their competitive advantage with machine learning.
How do you change the culture and the concepts of governance within your enterprise from being that as a roadblock to really being an enabler or even an accelerant? Learn more about unified governance approaches from speakers like Seth Dobrin, VP and Chief Data Officer, IBM Analytics, IBM, at Fast
Smart companies are finding new ways to squeeze more value out of their massive data storehouses. They’re unlocking insights from their data that build new business models, improve customer experiences and outpace competitors. So where do these business-changing insights come from?
Perhaps one the single most significant changes to the analytics landscape in recent years had been the emergence of the data scientist. This role is continuing to evolve, with many organizations still in the process of establishing how best to incorporate this relatively new discipline into their
Are you dealing with information that belongs to EU subjects? Does your company have a “Data Protection Officer”? If the answer the first question is yes and the answer to the second is no, then the new General Data Protection Regulation (GDPR) probably applies to you, and you might not be prepared
Analyze your way to business success. Learn more about data analytics and visualization from speakers like Marc Altshuller, General Manager, IBM Business Analytics, at Fast Track Your Data - live from Munich or join online June 22, 2017. Register now.
In any successful modern organization, analytics is likely to play a central role in helping decision-makers design and execute effective business strategies. At IBM, as we work with clients across the globe, we’re seeing ever-increasing levels of maturity and confidence in data-driven business
Connect with the people pioneering where data goes next in person or join the live stream June 22, 2017. Learn how to leverage all the elements of data and analytics and secure your competitive advantage with machine learning. Register today.
Imagine what you could build if you could leverage all the data that you couldn’t access before? Learn about hybrid data management from speakers like Nancy Hensley, Director, Growth & Strategy, IBM Analytics, at Fast Track Your Data - live from Munich or join online June 22, 2017. Register
We’re living through the third great revolution in modern business. First came economies of scale, which we harnessed with the Industrial Revolution, the assembly line, and the creation of global markets. Second was network effects, seen most obviously in the rise of the Internet and the Web. Third