Global business value derived from Artificial Intelligence (AI) is projected to total $1.2 trillion in 2018, an increase of 70 percent from 2017, according to Gartner, Inc. AI-derived business value is forecast to reach $3.9 trillion in 2022. Well, that is pretty hard to ignore. Customer experience, new revenue, and cost reduction are three key sources of AI based value. Knowing where to start and being able to visualize the opportunities that AI and Machine Learning (ML) present will be critical to the survival of many companies. Below you find some of the top artificial intelligence and machine learning tools.
In the early 2000s to help explain the concept of Big Data, Doug Laney introduced the now-mainstream three Vs: Volume, Velocity, and Variety. Data scientists have been challenged to successfully capture, store and analyze data from the large number of data sources and data types which creates an enormous data processing and quality issue for organizations. Today, technologies such as Apache Hadoop, an open-source software utility that facilitates using a network of many computers to solve problems involving massive amounts of data and computation, was developed to manage such complex issues. Below you find some of the top tools used in big data storage and analysis.
Big data in EXCEL
Business Intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions, as defined by CIO.com. BI technologies provide historical and current views of business operations, and most importantly provide predictive analytics that are the centerpiece of corporate planning as well as real-time decision making. Below are some of the industry’s leading BI tools.
Microsoft Power BI
IBM Cognos Analytics
Cloud computing is a service offered by companies to provide on-demand access to storage, applications and processing power. The benefits of having professionally managed, scalable platforms are many, however, things can get complex in a hurry when you try to integrate the different services into a robust, hybrid, and secure environment. A collection of industry powerhouses have developed Infrastructure-as-a-Service (IaaS) platforms for self managed or third party managed solutions. The industry has matured and is now a six boat race.
Amazon Web Services
Google Cloud Platform
Over the last decade, as businesses transitioned from being product-centric to being customer-centric their technology spending shifted from the CIO to the CMO. Organizations’ quest to understand more and more about their customers and how to better serve them has been unyielding. Now with artificial intelligence and machine learning coming into the mainstream, many of the classic Customer Relationship Management (CRM) and Marketing Automation (MA) platforms are becoming even more important to their companies success. Below are some of these top software platforms.
It is no secret that web applications and mobile devices dominate the digital marketing space with over 2 billion mobile devices sold in 2018. With limited screen sizes, processing power, and connection speeds, it’s imperative that mobile application developers are excellent at developing User Interface (UI) designs that look good, perform well, and are easy to navigate. Below are some of the top mobile application development languages.