The world has come to rely on data. Data-driven analytics fuel marketing strategies, supply chain operations, and more, and often to impressive results. However, without careful attention to data accuracy, these analytics can steer businesses in the wrong direction. Just as data analytics can be detrimental if not executed properly,

Data is an indispensable resource for retailers. Today, most retail businesses understand that they must capitalize on digital data, but fewer know how to make the most of it. If these companies hope to reach their full potential, they must improve their data management. Data management is often a struggling

Businesses across virtually every industry are rapidly adopting cloud service solutions. The global cloud computing market was worth an impressive $371.4 billion in 2020 and could more than double to $832.1 billion by 2025. Amid this rapid expansion, organizations must recognize this movement’s risks. Cloud security isn’t necessarily less secure

Many company representatives commit to moving massive amounts of data to a new location and anticipate numerous advantages. For example, a small business could become more competitive after transferring some content to the cloud. Managing data on-site is a labor-intensive exercise that often becomes prohibitively challenging. Off-site service providers typically

There’s been an ongoing trend of people wanting increasingly capable and smaller tech devices. Those desires have spurred progress in a segment of artificial intelligence (AI) called TinyML. Here’s a look at how it could enhance future possibilities.  What Is TinyML? It’s already widely known that processing data directly on

Real-time data is immediately passed along for analysis rather than collected and stored. Some such systems offer on-demand real-time analytics. In those cases, the platform does not send data until a person requests it. It’s immediately available once they do.  Other real-time data tools have continuous analytics capabilities. Then, the

Data monetization can be an effective tool for helping companies and sectors boost profits and keep consumers happy. Here are five of the industries that data monetization strategies could benefit the most. Music The music industry experienced a prolonged period of upheaval due in large part to streaming services’ popularity.

At first thought, predictive analytics engines seem like an ideal way to remove human bias from decision-making. After all, these models draw conclusions from data, not stereotypes, so they should be objective in theory. While this seems reasonable at first, researchers discovered that predictive analytics could indeed carry human biases

AI has become an indispensable resource for many businesses in 2020 amid the challenges of COVID-19. Despite economic stress, 61% of high-performing companies invested more in AI in 2020. As recovery from pandemic losses gets underway, more may turn to AI to strengthen their digital transformation. Increased investments in AI