On this week's episode of Making Data Simple, Susara van den Heever, Data Science Program Director, IBM Analytics, sits down with us to give insights on practices that improve business efficiency and effectiveness. Learn the differences between predictive and prescriptive analytics, and how to
Sales compensation programs are incredibly effective for aligning salespeople with company objectives. An organization can sink or swim by whether salespeople know the most forward-thinking and effective sales performance management (SPM) solutions.
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
Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in
“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
How can we always be sure the stories we’re reading are accurate? Is there an agenda to distort facts to change opinions? Does a story assert falsehoods, misquote its subjects or rely on hyperbole? In short: is the news we’re consuming the truth? Or is it “fake news?” Meet Mike Tamir, an analytics
Natural disasters seem inescapable, leaving us feeling vulnerable in the hands of nature. How is this possible, given all the data and technology that surrounds us today? Can’t experts get better at prediction, and even try to stave off more natural calamities or more effectively reduce the loss of
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,
Back by popular demand in this week's episode is Nancy Hensley, Director of Offering Management for IBM Hybrid Cloud. Nancy is joined by Sean Ellis, CEO and founder of GrowthHackers.com, who coined the term growth hacking several years ago. Sean and Nancy share ways to find the Northstar metric for
In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and