November 2, 2018 | Written by: Milind M. Tapaswi
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Artificial Intelligence is all too often associated only with futuristic technologies seen in movies or in the news. Yet what many people don’t realize is that technology disruptions have already been influencing our daily lives for more than a decade!
As consumers and individuals, we are all too familiar with the ‘art of generating and contributing data’ to the ever increasing pile! While data creation is nothing new, it is estimated that an impressive 90% of the world’s data has been created in the past 2 years alone!
From an enterprise point of view, IBM believes that only 15-20% of the data is accessible to organisations, and this data is largely in the structured form. An astounding 80% of the data in unstructured has so far been practically unusable for humans. Examples of unstructured data include scientific data (atmospheric data), photos and videos (from traffic and surveillance cameras), company data (documents, emails and logs), and social media data (from platforms like Twitter, YouTube, Flickr).
But things are changing with enterprises exploring solutions that can understand natural language, ape human cognition, and work with your data. Our clients know the approaches of the past will not deliver the business value they need to sustain competitive advantage today, or in the future. This is why IBM introduced the Ladder to AI. It’s all the steps a client needs to make their data ready for AI and put AI into production in their business. The AI ladder allows them to:
- Collect data, making it simple and accessible regardless of where it lives.
- Organize data to create a trusted, business-ready foundation for analytics and AI
- Analyze data to scale insights on-demand with Machine Learning everywhere
- Trust AI, providing trust & transparency in outcomes
- and Infuse AI, automating and scaling AI across business processes
Interestingly, your job is not finished right there. It is now well acknowledged that enterprises are moving workloads to a variety of locations – some continue to operate in traditional data centers within firewalls, while others have been shifted to clouds – public, private or a mix of all such environments. You now have to deal with data across these workloads and would still expect to run those analytical models and your AI codes across. A couple of solutions from IBM launched recently – Multi Cloud Manager and AI OpenScale help you deal overcome these hurdles with ease.
AI OpenScale goes a step further in calling out inherent biases in your AI models as well as bringing to your notice a level of transparency to the model’s decision making, thus helping you trust the decision and outcome much more than you were able to do before.
If you find all this fascinating, then you should simply hop over to IBM’s booth and attend our speaking sessions at the World AI Show happening in Mumbai between November 22-23, 2018. Reach out to experts that are eager to engage with you and help you with your Journey to AI. See you there!