Targeting artificial intelligence applications at IBM Think

By | 2 minute read | February 6, 2019

Think 2019 offered 2,000+ sessions, labs and certifications centered around AI technology.  The biggest question for attendees centered around how artificial intelligence can drive your business. We’ve taken a deep dive into the topic to help answer the most pressing question about AI.

Every day, AI launches another company’s data analytics into the future. IBM’s worked with thousands of customers to help implement AI into their business model. However, in order for clients to successfully implement AI, they need the proper information architecture.

IBM has broken this down into three key areas: Collect data. Organize data. Analyze data. With guidance from a few of our forward-thinking customers, you can see how they’ve benefited from artificial intelligence.

Banks need deep and accurate data to develop and manage their financial products. For example, each of Nedbank‘s departments use a wide range of analytics to make informed business decisions and keep costs low. In fact, there was too much data, and they were paying too much for storage. Nedbank implemented IBM Db2 Warehouse and IBM Fluid Query with its existing IBM PureData System for Analytics data warehouse and reduced their 13,000 separate load processes to just 1,000.

Elevator-maker KONE is another great case study. The productivity loss of people waiting for elevators can add up to significant costs per worker. KONE adjusts the elevator position based on demand throughout the day. However, the company can only succeed and be accurate with smart data collection.

KONE chose IBM Db2 Warehouse on Cloud to store the data generated by more than 1.1 million elevators and escalators worldwide. This enabled them to remotely monitor their equipment, and therefore schedule predictive and preventative maintenance.

Founded in 1964, BBVA Compass has grown into one of the largest commercial banks in the United States. Mergers and acquisitions have resulted in innumerable data dumps process. The company now deploys IBM Unified Governance and Integration’s data governance solutions to manage incoming financial information.

The government regulates transportation more closely than almost any other industry. J.B. Hunt Transport, Inc. stretches across the United States with thousands of miles of shipping containers that create the heart of American commerce. Regulators constantly examine J.B. Hunt’s data centers. To comply with the latest rules, the company designed new data retention and management processes built on IBM Information Lifecycle Governance Solutions that drove better decisions managing, retaining and disposing of data. The improvement resulted in 94.2 percent reduction in amount of data unnecessarily stored.

Optimizing IT has become a huge application for AI. Game-maker GameStop worked with IBM to build self-service capabilities and dashboards for customer support issues. This resulted in closing more than 2,000 IT reports and creating 500 different analysis tools for their business teams.

Companies managing large supply chains need to optimize operations and the connections between steps to keep customers happy. FleetPride teamed up with Cresco International to deploy prescriptive analytics solutions from IBM, giving the company’s supply chain managers astonishing new insights into their operations. Since then, the company’s boasts 99.5 percent accuracy in package contents leaving a warehouse.

There are three main buckets for deploying artificial intelligence in business, but there is not one-size solution for all. Only in reading strong customer cases like the above and attending in- depth conferences such as Think, do business minds figure out exactly how to wield AI and improve their bottom line.

Get real answers to your AI questions from IBM Think 2019, during our 3/20 Think recap webinar.