What are the top 5 results I can expect to see when I start harnessing my data as intelligence?

Results are the key parameter that most enterprises, CEOs and CFOs aspire for. So the power of information intelligence is immense and very compelling, creating very powerful use cases. So some key benefits would be, one, identifying the growth drivers, through the intelligent automation framework that the platform can deliver and while that is important, your risk reduction comes very close to the aspect of enterprise revenue creation and growth sustainability.

So how do you drive scalable and sustainable practices across the business or something that the platform can deliver and along the way, creating those powerful network effects which reduce leakage, integrate your enterprise data intelligence to all the functional triggers that exist within the enterprise and at the core of it, one function that I would say which can significantly benefit is, say, customer orchestration. It can be reducing customer churn, thereby reducing revenue leakage, reducing customer attrition. All of this happens through the intelligence framework and the intelligence automation that the platform can create.

Some see the innovations in AI and learning automation as a potential threat to the workforce, but in reality it can boost productivity among your team. Can you explain how?

So any innovation, not just AI, has progressively brought in scale and efficiencies across industries. If you look at most job roles that we can relate to, you would see that 30 to 40% of the work gets repetitive over time and with diminishing value. And this is where we have historically seen process innovations. However, when we talk of AI related innovations, they scale even more significantly by combining business models, data insights and human aspects and help realize solutions for business problems.

Now, these disruptions would in fact create new opportunities and job roles, leading us to a need for continuous learning and reskilling in the industry.

Can you explain how is iLearningEngines Platform setup in an enterprise?

First, we start with the iLE Knowledge Cloud. The iLE Knowledge Cloud is created by aggregating and curating enterprise content from multiple content repositories. The AI workers are able to ingest content from various internal and external repositories and bring relevant information and learning assets using enterprise search. This becomes the institutional IP repository for driving in-process learning and contextual role based search in an organization. iLE with its no code AI canvas integrates with enterprise systems like ERP, HCM systems, backend systems and uses process automation without any custom programing.

iLE captures event triggers from enterprise systems. The iLE AI assist interprets the situational context and triggers a real time learning prescription or a risk assessment. Lastly, the iLEs Information Intelligence Platform enables enterprise with both prescriptive and predictive insights through dashboards and reports like risk profilers, compliance dashboards, etc.

In today’s world we have access to information at scale and AI is increasingly transforming the Data and insights space. How does iLearningEngines help Organizations drive business transformation?

So this is core to what we do at iLearningEngines. The transformational opportunities for businesses are across two large segments. The AI market and the learning market. These market segments are seeing great synergies and we are at the intersection point between these two segments. Now organizations have mega-sized and siloed information repositories and employees struggle for access to expert knowledge. What we do is we work with businesses to institutionalize that expert knowledge across repositories using our AI platform, integrate it with enterprise systems, and enable the delivery of expert content across internal systems or customer experience channels.

Can you explain the difference between learning automation and information intelligence and how they go hand in hand?

This is a good question. Learning automation captures event triggers or user needs and provides learning prescriptions to drive personalized learning in the flow of work, and plugs competency to performance gaps with in-process, real time learning, which is embedded in business workflows. Now, Information Intelligence transforms data into intelligence by drilling down to actionable insights and by powering informed decisions through our AI, which is embedded at multiple touchpoints across the customer journey.

So, the two work hand-in-hand to create a powerful engine for your enterprise, that combines operational and data, for growth at scale.

Reducing risks is an ongoing challenge for businesses the world over. How can advanced AI and learning automation technology reduce risks in real-time?

Significantly so. So risk by alone is the one paradigm that enterprises try to stick to steer clear of. So how does an AI enabled learning automation platform produce that? Point number one, a data, logic and algorithm that is trainable on very powerful A.I. NLP fundamentals ensure that you bring in the relevant triggers from the enterprise business technology and play it up front to those places where risk exits.

So by being able to take risk to those risk automation measures to that place where risk exits across the enterprise is the single most way to deal with risk as an entity. Now, how does this matter? Because now what’s really important is how do you apply multiple use cases which can reduce risk, thereby increase revenue accelerators, is a key point that enterprises will look for going forward.

How can those align with your compliance regulations, which are again, a risk mitigation plan that most enterprises have? How does this play into your organizational fundamental. Risk appropriation is again a key aspect of the platform.

I believe it definitely is the Knowledge Cloud.
It’s a single and centralized repository for all IP of an enterprise from enabled contextual search to content recommendations, chatbot readiness and question recommendations.

I believe the iLEs Knowledge Cloud delivers immediate impact as it powers learning in the flow of work or in process learning embedded into business workflows.

Another great example is the workflow designer, which creates business workflows using the iLEs no code A.I. canvas.

This delivers enterprise specific gaps drives custom process automation and personalized learning prescriptions that can be delivered across any messenger, channel or end user touchpoints.

We often speak about Tech as a business enabler. As one of the fastest growing Tech companies in North America, what should businesses and enterprises be focusing on?

Broadly in the context of leveraging technology as a business enabler. Some of the priorities, from my perspective, would be one, to consolidate all data assets across the enterprise, helping the business drive, learning automation or what we call learning in the flow of work. This, we believe, is a major enterprise differentiator going forward.

Point number two is creating knowledge clouds to disrupt information dissemination and knowledge consumption, both of which go coupled as one engine into the learning automation framework.

Measurable data, again, from putting in all the right parameters to assess enterprise impact, is also a critical factor that enterprises need to consider. Using A.I. as a machine learning engine to create cross-functional and deep vertical data sets as what most enterprises have lacked. And that is the one that is going to be the most have said that they need to preserve.

Going forward now, fundamentally technology, whatever is being considered, needs to be scalable, sustainable and needs to be able to imbibe by all the enterprise’s business functions and their models. So these, I believe, will be the differentiating strategies that enterprises and businesses need to invest in for that sustainable growth that they’re all aspiring for.

So now that we know more about the world of AI and learning automation, what are the key features that set iLearningEngines apart?

The building blocks for our platform consist of a knowledge cloud which aggregates the organization’s knowledge content and a no code AI canvas that helps orchestrate workflows for this content delivery into enterprise and user interactions. Now, with this, we help organizations with the last mile delivery of their expert knowledge.