InetSoft Webinar: How Does a Legacy System Affect the Process of Setting Up Machine Learning Solution?

Below is the continuation of the transcript of a Webinar hosted by InetSoft on the topic of Enabling the Intelligent Enterprise with Machine Learning. The presenter is Abhishek Gupta, Product Manager at InetSoft.

One last question which is probably on the minds of many of our listeners is how does a legacy system affect the process of implementing machine learning solutions? That's a question that I get a lot from our installed base.

InetSoft's has chosen the a route of making all machine learning solutions technically available as add-on services running either on premise or in the cloud. With our API and multiple integration points, we're able to enable a rigorous integration of machine learning capabilities into existing architectures without the need to be on the fully latest version number of every single product.

I think this is something that all customers look for and appreciate because it helps them drive business value today while also embarking on longer term harmonization and then making an upgrade journey in parallel.

So now I'd like to just reiterate a few of the main points as we bring this webinar to a conclusion. Artificial intelligence is enabling us to develop intelligent machines that are helping to enhance our human capabilities and further enabling enterprises to succeed. What we've seen in all the examples today is how machine learning has allowed businesses to reimagine their business processes and to reimagine all the applications of ML.

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Machine learning is providing us with immersive and responsive personalized experiences that are improving our interactions with technology. Machine learning is automating and prioritizing business processes to enable faster decision making, provide unique insights and elevate the customer experience. It's transforming industries and reshaping enterprises to become more intelligent and optimize processes and benefit from real time insights. I think this brings us to the conclusion of our session today. Thank you for attending, and we're really looking forward to seeing you at the next webinar. Enjoy your day. Thanks a lot.

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