A variety of organizational roles interact with business data, and each role faces its own particular challenges in collaborating with its IT counterparts. In this installment of the InsightOut series, learn more about the responsibilities of these personas, exploring the considerations that govern
Exploiting external, cloud-based data can bolster competitive advantage for cognitive businesses, but combining it with internal, business-outcome data brings challenges. Consider several actions that organizations can take using cloud data services to capitalize on the value of external data.
Open source initiatives are reshaping the face of data science, bringing data professionals together to achieve previously infeasible goals. In this podcast, discover how the data science landscape is changing, transforming established business approaches to data.
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.
Organizations looking to be more data-driven than ever before not only want to pervasively enable analytics across their enterprises, but they also aim to allow for enhanced collaboration and interaction. In this second InsightOut series installment, see how they can face the challenges to
Historically, policing has been a largely reactive pursuit. Today, anticipating criminal behavior has taken on a new meaning: Data-driven prediction of high-risk people, places and events allow police to work more proactively than ever before.
IBM InterConnect 2016 may now be history, but the premier cloud and mobile conference was center stage for a historical abundance of announcements concerning cloud data services, open analytics, cognitive Internet of Things, and more.
February 2016 has brought a whirlwind of announcements by IBM that are woven together by a predominate open data and open analytics thread. Many of these announcements were made at IBM InterConnect 2016. Take an opportunity to catch up on all these exciting announcements in this comprehensive
Open source analytics is transforming every segment of cloud data services, big data analytics, cognitive computing and other key insight economy technology enablers. See what some leading industry experts have to say about what they think are the most promising open source analytics initiatives
Data science helps people manage their assets, keep their vehicles in good working order and locate valuable natural resources. But can data do more to help humanity? Could data even change the world? Discover how you can join IBM in putting data to work for social good.
Cognitive analytics is reshaping the face of computing, bringing previously inaccessible capabilities to businesses across a range of industries. Discover how cognitive computing capabilities can help you create a cognitively enriched environment that can make your organization a hotbed of
Organizations have a tool to address the multiple challenges faced by their knowledge workers: multispeed information technology. In this podcast, get an overview of multispeed IT and details on how businesses can implement it rapidly and cost-effectively.
Disruptive innovations such as big data, machine learning, cognitive computing and cloud-based services are presenting analytics professionals with rapid transformation that impacts business. As a result, organizations are adopting new best practices for data analysis processes. Dig into this first
Smart predictions can spell the difference between whether your company succeeds wildly or falls by the wayside. Get the details on four strategic pillars for smart, proactive business through predictive analytics deployment in a series of new blog perspectives.