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Businesses must integrate Artificial Intelligence (AI) now or fall further behind

Artificial intelligence became one of the hottest tech topics in 2017 and is still attracting attention and investments. Although scientists have been working on the technology and heralding its numerous anticipated benefits for more than four decades, it’s only in the past few years that society’s artificial intelligence dreams have come to fruition.

Mastering Data and Self-Development at Lenovo

In 2012 when I worked at Lenovo, the company set out on a journey to create the Lenovo Unified Customer Intelligence (LUCI) platform. The decisions we made with regard to people and technology involved in that project helped to shape my self-development, relationships with others on the team, and relationship with executives.

Are APIs becoming the keys to customer experience?

In recent years, APIs have encouraged the emergence of new services by facilitating collaboration between applications and databases of one or more companies. Beyond catalyzing innovation, APIs have also revolutionized the customer-company relationship, allowing it to provide an accurate and detailed picture of the consumer at a time when a quality customer experience now counts as much as the price or capabilities of the product.

Qlik's next move in AI -The CrunchBot/Crunch Data Acquisition

Qlik is at the forefront of bringing augmented intelligence even further into analytics, helping business users scale their ability to explore and surface key insights from all their data. As we expand the role and use of analytics through our customer organizations, we know that making it easier for users to interact with data is essential to both increased adoption and higher data value.

Data skills - Many hands make light work in a world awash with data

While the transformation to a data-driven culture needs to come from the top of the organization, data skills must permeate through all areas of the business. Rather than being the responsibility of one person or department, assuring data availability and integrity must be a team sport in modern data-centric businesses. Everyone must be involved and made accountable throughout the process.