Focus on Data infusion and Analytics
Over the past 6 months, I have been focusing on a Journey to AI. In the first episode, I talked about how AI was born and what changes it has brought to our world. We have seen a lot of improvements in innovation, disruption and transformation thanks to this smart technology.
In the last episode, I discussed how IBM had mastered their approach to optimize the use of data for AI purposes. We discussed data relevance through 4 steps: data collection, data organization, data analysis and data infusion. With a single platform built by IBM engineers, the journey to AI has never been easier, more reliable and more relevant.
In this new episode I would like to focus on the down to earth use of AI. Every day when you are involved in any AI project, you need to think about what use you are going to make of it and how you will reach success. In other words, you will need to understand what has worked and what has not worked. You will need to make precise, fast and comprehensible decisions to ensure pivoting when needed. So, let’s discuss Data Infusion and IBM Planning and Cognos Analytics.
More and more businesses hire data scientists to help them with data value and relevance. These scientists create very useful AI models that will then be shared with business owners and create reports that will benefit concretely P&L analysis, HR and Operations optimization, as well as greater ROI. However, once these models are created, many companies are faced with challenges in operationalizing them to attain broader business value. This means that very often models are made by people who have thought about the best way (thinking on paper) to improve results, though once faced with business reality may well be challenged to put them in place. In other words, like business plans that must be confronted by the market to know if they are reachable and feasible, AI models need to be proven to become practical and useable. The IBM Infuse program allows us to automate and operate AI across its full lifecycle, speeding the time to value, shaping future business outcomes and giving real time information to act upon. If you want more information about the Infuse program, click here.
But how do you know if you are successful?
IBM offers two types of analytic tools – Planning Analytics and Cognos Analytics, which you can personalize to ensure your KPIs are tracked and monitored, hence guaranteeing your success.
Planning Analytics allows real-time reports on all data available. Multi-dimensional analysis and scenario models are easily produced and used to check on your activity. You will be able to make decisions based on actionable data.
To me, the truly valuable element from IBM is the fact that you can test Planning Analytics for 30 days for free. This test is not like any other test, where in general you only have limited access to product features. IBM allows you to test the whole system and to build your own plans, analyses and dashboards, which will really help you to decide whether you want to use the Planning Analytics tool or not. If you want to start the test, click here.
Cognos Analytics will, as its name suggests, help with your cognitive approach to business. IBM Cognos Analytics is made for AI models and technology. You will be able to explore many and varied relationships within your data. With an AI visualization tool, you will be able to get the most personalized and relevant analyses for your business. I especially like the way you will be able to communicate with your data, thanks to an AI-backed conversational assistant and to get any type of report based on advanced analytics for AI models. And again…. You can get your free 30-day trial of the Cognos Analytics tool by clicking here.
I have been involved with online intelligent analytic tools for the past 10 years and what I have seen with the IBM Cognos Analytics system is very relevant for any type of business.
As a conclusion, in this third episode of the Journey to AI, I want to be more precise about the results you can expect from IBM AI technology. I have focused this paper on how IBM can help your business concretely. AI is based on data and models and as such allows very precise analyses and calls to action for any type of business. IBM has excelled in giving you the ability to make the tool completely yours. Very quickly you will be able to build your Infuse program for your actual needs. Your analytics will be accurately used for your resources. When we speak about a Journey to AI we are describing the advancement from the existence of data, to the collection of data, to the organization of data and finally, to the analysis of data. Once these 3 steps are done, infusing data will allow you to take control of all of your data and give the best business use for it.
Your first investment in IBM technology will allow you to use any analytic APIs to ensure this is what you want and need. This will be softened by a 12K cloud developer credit you can get with IBM. What are you waiting for?