Alfamart the Super Minimart Alfamart, the first and only Super Minimart chain in the Philippines, introduced the concept of the Super Minimart to the country in 2014 when it opened its first location in Trece Martires, Cavite. Since then, Alfamart has rapidly expanded in various locations in Cavite, Laguna, Batangas, Metro Manila, Pampanga, Bulacan, Nueva … Read moreAlfamart Pilots Agility and Resilience Across its People, Process, and Technology
Adapt or vanish. This avowal has been swimming across the shore of businesses who still resist to digitally transform their organizations. 2020 is the year where industry giants plan to deploy different technology trends to amplify the way they engage and interact with their customers. To meet the modern-day demands and requirements of distinctive industries, organizations have to evolve and transform their structures and tactics to stay relevant in the contemporary market. The AI-based innovations such as machine learning are making drastic invasions.
You should consider technology as your gateway to make new opportunities and cover your target territories faster than ever before. This approach is being enjoyed and is easier for the market giants but how about the micro-enterprises and startups? How can they use technology to score big in a very saturated market?
No matter what the industry is, businesses who use their data as an instrument to make relevant and intelligent business decisions are significantly outperforming their competitors in the market. These business leaders treat data as an asset rather than just a digit. They move and operate with confidence knowing that all their resolutions are scientific and will develop a sophisticated culture which sets a premium on action informed by analytically derived facts.
As the world becomes more and more connected, people have accumulated more and more data. Interpreting, storing and handling these information has become so complex that experts decided we need a new field to study and apply strategies on managing a really large data storage and analyzing unstructured (words, image, sound, etc.) information. This was initially the objective of data science but seeing as understanding this complex information provided the basics of “self-optimizing” machines, data science is now usually related to the terms machine learning and artificial intelligence.