"Data rich but information poor" is how many business stakeholders describe their organizations. They increasingly challenge CIOs to change the status quo, leveraging some of the data/analytics buzzwords and success stories they are constantly bombarded with. What should a data strategy look like in the "post big data era"?rn
Microsoft Power BI provides organizations with self-service business intelligence tools that allow users to analyze, visualize and share data using the familiar Microsoft Excel spreadsheet. Here are 12 success stories built on Power BI.
Artificial Intelligence (AI) has the potential to put you ahead of your peers in the industry. However, like with many opportunities, you have got to be keen at doing the right things in the right order.
Big data, machine learning, data science — the data analytics revolution is evolving rapidly. Keep your BA/BI pros and data scientists ahead of the curve with the latest technologies and strategies for data analysis.
Here are key findings, fresh insights and a review of different types of businesses in the tech world, and cybersecurity feedback from a recent TIA gathering of tech leaders and cybersecurity professionals.
The increasing popularity of big data overlooks the importance of considering the manager's domain expertise. Agent-based simulation combines data and expertise to solve complex problems in many different areas.
By blending automation and expertise, a strong social intelligence strategy can transform social media data into actionable insights — and help shape your company’s products, advertising and customer experience.
To address the challenge of dark data, use artificial intelligence to unlock unstructured data, deploy modular and interoperable digital technologies, and build traceability into core design principles.
Forrester recently gathered top Customer Experience (CX) professionals from around the world for the Forrester CX Forum in New York. Extensive data was presented to support the argument that delivering a seamless customer experience is more important than ever. But who is actually in charge of CX, and who should be? The view of the CX community is that to deliver great results in customer experience, senior IT leadership must be intensively involved in the full CX lifecycle.
Data scientists and data analysts as well as engineers and developers with the skills to work with big data technologies are sought after and well-compensated. Want an extra edge looking for your next job? Get big data certified.
The Cold War is often cited as the starting point for the scientific work around natural language processing (NLP) that has since evolved into computational linguistics, an artificial intelligence (AI) technology now in commercial use. The story goes, the phrase “The spirit is willing, but the flesh is weak” once used to test the work that had been done, translated to Russian and back to English as “The vodka is strong, but the meat is rotten.” To say this technology’s earliest forms had challenges is quite an understatement, but the reality is we have come a long way since then. Businesses today inform risk, operations, and performance decisions in the same way we had, with limited success back then, aspired to inform diplomatic, political, and military actions. This article explores the evolution of computational linguistics, and provides current and practical applications for enterprises today.
Digital has become the pulse of banking customers’ interactions, and it continues to influence their behavior and needs, but with almost half of banking consumers using only digital channels for their transactions, expectations are outpacing experiences at most organizations. Are banks and financial institutions ready for the rise of the digital-only consumers?
Data becomes information through communication. We want as many smart people to have easy access to rich data. Enterprise analytics is a control for leaders to avoid indulging in 'elaborate rubbish'. For every task there is a tool and this holds true for the data management market. This is about establishing the basic requirements for safe exploration and genuine discovery.
AI and machine learning algorithms are increasingly being brought to bear on collaborative business workflows and processes for automation and to enable intelligent conversational experiences. There is a paradigm shift in digital workplace technologies and strategies to make enterprises more conversational and smarter.
By 2020, firms that are not fully leveraging the public cloud for big data analytics will be hard-pressed to keep the pace set by digital leaders that innovate with emerging technology faster than their competitors.
Data lakes can store all your business data with ease, but beware: That massive repository of data can get bogged down, choking your data off from your users. Here’s how to prevent your data lake from turning into a data swamp.
As the rise of the Information Age has made data more valuable than ever before, hackers have never posed a more severe societal threat than they do today. The examples of major security breaches are so numerous even from only the past year that there’s no need to list them specifically. The havoc they’ve wreaked is unimaginable.
Although artificial intelligence has not reached levels of cinematic expectations, it has certainly come a long way. As we approach the halfway mark of 2017, we've seen that artificial intelligence has penetrated online retail in ways we would never dream possible just a decade ago.
Five key trends emerged from Forrester's recent Digital Transformation Summit, held May 9-10 in Chicago. These include the rise of AI and a heightened urgency for legacy enterprises to accelerate the rate of their digital evolution.
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