Artificial Intelligence

As consumers shift their apparel, beauty and accessories purchases to online, store traffic continues to decline. In August, year-over-year instore traffic dropped 6.6 percent, according to RetailNext. For fashion apparel retailers who may not have a strong e-commerce presence, the ongoing drop in traffic is a paramount concern — especially heading in the fall the holiday shopping season.

Every seasoned restaurant owner or manager knows that where there is growth, once stood a significant risk. No booming business entered the game, be it opening a new location, a menu makeover, or a completely new brand, with 100 percent confidence.

Whether you’re an eye-roller or an enthusiastic participant, Pokémon Go is a game that’s difficult to ignore. It does have a lot going for it: nostalgic yet advanced, simple but strategic, and although played on phones, the game incorporates the user’s surroundings to an extent we haven’t really seen before. The “Go” sets the game apart from all others that have come before, Pokémon or not: you simply can’t catch Pokémon while sitting still.

In a world stunted by a powerful recession, thousands of businesses closed their doors while a small, Boston-based burrito chain was getting ready to take their brand to the national level. Despite the failing economy, Boloco was thriving in its existing locations.

The experimentally determined angle at which you flick your wrist to achieve the perfect toss of the contents in the pan. That slight brownish color that indicates a delightful crisp. The unmistakable shine of freshly polished silver. What does a robot know about any of these nuances in the art of food service? Probably very little. The magic of the restaurant industry lies in the irreplaceable human aspects of creation and service. So how do robots fit in in an industry so human?

You’ve heard it before. You know it by heart. Location, location location: this triplicate is informally known as the golden rule of property-owning. Where a building stands absolutely defines the success of its endeavors within. The mantra, though simplistic, is tried and true.

In case you haven’t noticed, there’s yet another major shift in technology. This one has to do with the A.I. and chatbots that help us in our daily lives and at work. They offer many advantages, but adjusting to them has been no easy task. Despite some of the massive advancements we’ve made in tech, it’s clear we’re still in an “adjustment period” — with A.I., in particular.

Big data is growing fast and integrating it with Business Intelligence (BI) systems is a vital step that organizations are undertaking to secure predictable forms of success and ultimately gain higher Return on Investment (ROI). Presently, enterprises across every industry are leveraging multifarious forms of BI tools that facilitate users to consolidate and report basic information.

TAMPA, Fla. (July 20, 2016) — "Big data" is no longer a buzzword. Now that organizations have already put their wide arms around Big Data, the next impediment lies in refining the data to bring out insightful and meaningful results. With every bit of ‘0’ and ‘1’ being harnessed as meaningful “collections,” enterprises are sure to achieve complete utilization of their concrete information, and attain significant outcomes.

What is location intelligence? Location intelligence (L.I.) is a business intelligence tool that can be used for a multitude of reasons. Today we see L.I. mainly used for deriving meaningful insight from geospatial data to solve specific problems. Data by design can be intricate and overwhelming; for that reason, SiteZeus, a location intelligence SaaS solution, built a software platform for commercial real estate at large that takes copious amounts of data and makes sense of it all. It does so through organizing the data and relationships in a digestible, visually appealing experience. This results in an actionable insight generated in real time for location-based decisions.

Location, location, location. We’ve all heard the age old phrase before when discussing site selection or real estate business decisions. It’s true, it can absolutely correlate with the underlying success or failure of a particular business. Companies large and small struggle with these decisions daily; generally, due to the overwhelming amount of unorganized data.

In a world of ever growing data, enterprises, businesses, and entrepreneurs are relying far less on gut, intuition, and uninformed risk-taking to deliver results. Countless forms of big data and business-intelligence technologies have surfaced over the past decade, creating an explosion in increased analytics efficiency but also a human-resource paradigm.