According to Jeff White, founder and CEO of location-based consumer intelligence firm Gravy Analytics, “When you're talking about processing billions and billions of signals and information on a daily basis, that is a ripe environment for AI to interrogate what is already aggregated anonymized data.”. Indoor or Vertical Location.

Find out why global marketers have unique data and analytics challenges and how PepsiCo overcame its own operational challenges by unifying data across its channels and silos to drive measurable business results

Customer analytics. So much can be gained from using AI, machine learning, and other forms of analytics to identify a customer’s preferences, propensity to purchase, recency, frequency, net promoter score (NPS), and most importantly, where they stand on their customer journey. Investigate how well a CDP can run AI and machine learning models and if it can do real-time activation.

Worldwide revenues for big data analytics is forecast to grow by nearly 450% to reach $68.09 billion in revenues by 2025.

Advances in AI and predictive analytics are using consumer scores to automate business decisions to predict things like risk and fraud. But concerns over fairness mean companies need to make scores transparent to consumers.

KEY STAT: According to a September 2020 survey from the World Economic Forum (WEF), financial services companies worldwide indicated that they are adopting technologies like cloud computing, encryption, and big data analytics, which will all be enhanced by 5G. What Is 5G? 5G stands for the “fifth-generation standard” for broadband cellular networks.

Whether it’s the visitors’ app or in-park operations team, Universal Parks & Resorts is dedicated to delivering seamless guest experiences. To create relevant, immersive moments, the theme park relies on its core data and an integrated customer data platform (CDP). Watch Industry Voices: Spotlight on Travel with Universal Parks & Resorts’ Leah van Zelm, vice president of global marketing analytics.

The connected car obtains and shares this data through mobile connectivity, sensors and smart devices, cloud access, and big data and analytics interfaces. This data can then be used for purposes as varied as marketing, customer targeting, service activation, billing, logistics, tracking, monitoring, testing, and research and development (R&D).

Advertisers have a lot of information to bring together to understand how to gain more market share for their business. Mike Menkes, senior vice president at measurement firm Analytic Partners, joins eMarketer principal analyst at Insider Intelligence Nicole Perrin to discuss what might happen if competitors increase spending while you hold your budget steady, how creative can boost video ad effectiveness, and how ads for one product often have a "halo" that extends to other products, as well.

In a Q1 2020 Deloitte survey, IT executives in the US said that advanced wireless connectivity—such as 5G and Wi-Fi 6—was very or extremely important to their ability to take advantage of a number of emerging technologies, including the cloud, big data analytics, and AI. Satish Rao, chief product officer of startup studio Newlab, said that developing 5G use cases is a natural fit for startups.

As such, wealth managers are looking into how they can streamline data storage with the help of application modernization—which is a process that reengineers legacy applications, connects formerly siloed applications via APIs, and uses big data analytics.

Among the data and analytics professionals surveyed in August 2020 by Transforming Data with Intelligence (TDWI) and big data analytics platform ThoughtSpot, 49% cited data infrastructure as an obstacle to their company’s analytics journey—making it the leading response.

Advances in AI and predictive analytics are using consumer scores to automate business decisions to predict things like risk and fraud. But concern over fairness means companies need to make scores transparent to consumers.