This is the second in a series of blogs on analytics and the cloud. We will consider the rise of the Internet of Things (IoT), analytics used on that data and how the cloud can be utilized to drive value out of instrumenting a very wide range of ‘things’.
The reality is that AI is still heavily-reliant upon smart, willing and trained humans in order for AI to behave in a manner that we would expect. Humans are needed to scope the problems, identify relevant examples and verify the results. Without humans as a guide, current AI is no more capable
The need for information is paramount to our need to excel and succeed. Businesses rely on information for strategic planning and driving growth. Individuals rely on information to make decisions and gain understanding of things. All information is driven by knowledge, and for knowledge to be an
When the data lake is deployed as an infrastructure to be exploited by different users in various departments with their own needs, their own different requirements and often their own dialects in terms of a business language, then a universal translator can become very useful. Especially with the
There is so much talk about data as a new natural resource. The amount of data organizations and citizens across the globe produce, is authored in many systems and consumed by various organizations and users in different formats. This begs the following questions: Who owns this data? And why it is
It is said that more data has been created in the past two years than in the entire preceding history of mankind. It would be interesting to find out how much of this data has been analyzed and put to good use. Analyzing and harnessing big data is undoubtedly the major challenge of the day for all
Elderly care is on tap to be a critical need in the coming decades. See how Caregivers.com is using cloud computing and mobile technologies to provide greater choice for families and higher wages for in-home caregivers.
Just as a cosmetics company is focused on the foundation for beauty, many companies regardless of industry are looking to specialize in high-quality presentation of product to consumers. See how one global cosmetics organization took a master data management approach that offers expertise,
Recognizing the level of integration and governance provided and how it needs to be tailored to suit various stakeholders inside and outside of the organization is vital. Some need the ability to explore raw data; others wish to take analytical discovery into their own hands. Still others may
Large companies that want to prevent being outflanked by more agile, smaller firms can adopt a new organizational and strategic lifestyle. Listen to a general discussion of Chunka Mui’s book, The New Killer Apps: How Large Companies Can Out-Innovate Start-Ups (Cornerloft Press, December 2013) in
Data models for developing data warehouses need to evolve for managing and defining data lakes. This first installment of a blog series on charting the data lake introduces the potential role of data models in data lake environments and how they need to take an active role in defining and managing
Data transformation doesn’t have to mean moving data away from its source. Rather, modern approaches to data transformation offer a range of advantages that can help enhance performance while heightening access to data.
Caregivers.com is changing the way senior care providers operate through powerful insights generated through the company’s mobile app. Justin Saul, Senior Director of Technology, Caregivers.com, explains, "with IBM Cloudant and the IBM Watson Data Platform, we were able to quickly iterate on
IBM Insight at World of Watson 2016 had a lot of worldwide focus on cognitive capabilities and their application in analytics, commerce and security. And yet, the General Data Protection Regulation (GDPR) adopted in 2016 and applicable in 2018, seemed to garner quite a bit of interest among