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Machine learning is poised to have a profound impact on your business but the hype is sowing confusion. Hereu2019s a clear-eyed look at what machine learning is and how it can be used today.
While BI leverages past and present data to describe the state of your business today, business analytics mines data to predict where your business is heading and prescribe actions to maximize beneficial outcomes.
As IoT is transforming daily life, insurers must also adapt to running a business in the age of the connected customer.
You need to bring together teams from different departments and business lines to develop a cohesive implementation approach and achieve group consensus. This process is what I refer to as u201cData Intelligence.u201d
Modern BI has evolved the roles in analytics, but what about governance? Learn how crowdsourced governance benefits IT and the business, and how to get there.
Disruption by AI in sales.
Here's a look at the companies bringing big data to the financial services sector and how they are transforming the landscape to be more forward thinking and better prepared for the future of finance.
Not every problem can be solved by machine learning, and not every company is poised to apply AI. Hereu2019s how to know whether your IT organization is ready to reap the benefits of artificial intelligence.
Classical data strategies have focused on "what the data looks like" and can it provide "answers." Newer approaches provide the ability to move beyond that to "how can I use what I have" and can it provide "directio
Firms are considering data risk in their group risk appetite statements. Here's how to build three lines of defense for data management and data risk.
Disruption by data in the oil and gas industry.
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