This week on Making Data Simple, Dinesh Nirmal, vice president, IBM Data and AI Development, joins "Making Data Simple" to discuss current industry trends. Host Al Martin poses questions that are both technical and leadership-oriented. They discuss new, emerging technologies and swap their own
Predictive modeling and analytics have long been the domain of the data scientist and only the data scientist. But with modern tools, data science is becoming a team sport—business analysts and subject matter experts can join the analysis. While the players may have different skill sets and
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment. That means an overwhelming majority of businesses use a multicloud approach to enable greater flexibility and application modernization.
Some companies have found that while some clouds are a
Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, recently undertook a global migration from Oracle to Db2. Learn more about the migration and its success from O-I executives.
Evolving from departmental, small-group AI projects to an enterprise data science platform can put your business on a path to significant competitive advantage. Those who don’t seize the opportunity risk falling behind the curve. But some might not be sure how to begin. If you’re interested in
Al Martin is joined this episode by guest Jean-Georges Perrin, IBM Champion and director of engineering at weexperience. Together, they discuss the importance of Apache Spark and Hadoop, along with what it means to hold the title of IBM Champion.
It's well-established that customer retention is much less expensive than customer acquisition. Therefore, preventing churn is a priority for nearly every company. A vital part of a viable strategy for preventing churn is the effective use of data. Let’s look at the role predictive analytics can
This week, host Al Martin welcomes IBMers Reena Ganga and Jenna Goldberg. Reena and Jenna both serve as senior designers working at the intersection of augmented reality and big data. Both are passionate advocates for user experience design and the Design Thinking method, determined to improve —
Big data doesn’t need to be a daunting challenge for small or midsized business (SMBs). Accessing, storing and exploring big data can be done by businesses of any size. An influx of data from sensors, streaming audio and video log files, web, and social media are increasing the volume, velocity,
I am working on a project that requires a lot of research on how people are using artificial intelligence (AI) and machine learning (ML) in real-world business cases. While AI and ML are two of the hottest trends in technology, they don’t seem to be proliferating as widely or as quickly as we would
A company only survives for 115 years by reinventing itself, questioning assumptions, and constantly looking for an edge. Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, used worldwide by many leading food and beverage brands, recently began just such a reinvention.