Two of the the most popular IBM podcasts collide in this special episode of Making Data Simple. Host Al Martin interviews William McKnight, president at McKnight Consulting Group and host of the Data Decoded podcast. Al and William discuss the pros and cons of big business versus consulting, trends
IBM Hybrid Cloud Marketing VP Scott Hebner speaks with Big Data and Analytics Hub about the bets he’s placing on the offering to evolve into the company’s first AI platform and emulate WebSphere’s success.
This week on the Making Data Simple podcast, Sriram Srinivasan – architect and senior technical staff member for IBM Data Science Experience – discusses how to build and nurture trusted analytics to better your business. Sriram also shares insights on IBM Cloud Private for Data.
Data can be an organization’s most valued asset, providing insights that help strengthen business. Knowing what works and what does not can help you invest more resources in what would work in the future. Learn more about the Watson Knowledge Catalog.
How will technology and society change in the next 50 years? On our last podcast, we discussed how technology has evolved in the last 50 years. On our latest episode we look forward to the next 50 years. 2068 may seem far away. But futurists like Rajeev Saxena, IBM Watson amd Cloud Platform Program
“Content management” — at least as traditionally defined — is no longer the straw that stirs the process drink. It’s a key element, yes. It’s an important set of tools in the enterprise toolkit, yes. But it is not the only game in process town.
In this episode of Making Data Simple, Ember Crooks, Db2 Lead DBA and Delivery Manager at Xtivia, IBM Champion and IBM Gold Consultant, sits down to talk about her experience in the data science field. She shares her industry expertise, career goals, and tips for those looking to venture into the
Whether you are a start-up or a large corporation, you need to engage your team to drive engagement and business results. Katharine Kearnan, senior communication manager, IBM Analytics, and Alexa Youssefian, communications and social media specialist, IBM Analytics, join us this week to discuss
So what happens now when we go beyond the frontiers of the data warehouse and into the world of the data lake? – the world of Hadoop, of NoSQL, the world of schema on read, of discovering the data as is? For many organizations, the holy grail is to reap the benefits of the data lake while retaining
Floppy disks, punch cards and BASIC — we’re taking a trip down tech memory lane. How has technology, specifically in terms of data management, evolved in the past few decades? On the latest episode of Data Decoded, Andy Leonard, founder and chief data engineer at Enterprise Data & Analytics,
Data democratization allows data to be accessed across the organization and empowers individuals to use the data in their decision making and gain critical business insights. Data democratization is fast becoming a game changer as it’s moving towards a user centric micro-services based architecture.