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Home»Machine-Learning»AiThority Interview with Shoeb Javed, iGrafx
Machine-Learning

AiThority Interview with Shoeb Javed, iGrafx

Editorial TeamBy Editorial TeamDecember 3, 2024Updated:December 3, 2024No Comments5 Mins Read
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AiThority Interview with Shoeb Javed, iGrafx
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How is AI driving course of intelligence workflows immediately? Shoeb Javed, Chief Product Officer at iGrafx weighs in with a couple of ideas:

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Hello Shoeb, please inform us about your self and your function at iGrafx.

I’m the Chief Product Officer at iGrafx liable for shaping the corporate’s product imaginative and prescient and technique. With a robust deal with driving digital transformation for our prospects, I lead the event and development of iGrafx’s cutting-edge course of intelligence and digital twin options. I deliver experience in leveraging data-driven insights to modernize enterprise processes enabling organizations to take away inefficiencies, enhance compliance, and drive significant enterprise outcomes. I’m proud that iGrafx continues to be a trusted accomplice for firms trying to obtain operational excellence and future-ready processes. With a number of many years of product administration, engineering, and management experience, I assist lead a extremely gifted, international product administration and engineering crew to advance iGrafx’s product portfolio.

Additionally Learn: AiThority Interview with Robert Figiel, VP of Centric Market Intelligence R&D at Centric Software program

I used to be beforehand the CPO and CSO at Worksoft, the place I had the chance to accomplice with a number of the largest international Fortune 1000 companies, serving to to automate enterprise processes related to packaged enterprise purposes to mitigate danger and enhance operational effectivity.

How have you ever been seeing GenAI flip issues round throughout industries? 

I consider GenAI provides a possibility to essentially rethink each enterprise course of in each firm in each trade vertical to drive orders of magnitude enchancment in all features of the enterprise, together with operations, buyer interplay, provide chain and compliance. Corporations are simply starting to scratch the floor on implementing GenAI and the chances going ahead are limitless. Corporations that obtain the perfect outcomes with GenAI will not be merely tinkering across the edges however are essentially re-thinking how they do enterprise.

What ideas do you may have round the way forward for GenAI?

I consider that GenAI is popping out of the hype cycle and changing into extra sensible daily for real-world enterprise deployments. As extra use circumstances are applied and higher frameworks are constructed, GenAI will turn out to be extra elementary for a lot of firms.  The main target now’s on sensible use circumstances and enormous scale manufacturing deployments slightly than enhancements within the fashions or core expertise. Making GenAI extra dependable, lowering hallucinations, dealing with safety and LLM prices are the areas being explored and solved to make the promise of GenAI actual for companies. As these manufacturing deployments mature, I count on to see massive scale adoption past POC/Pilot use that exists immediately.

Take us by way of iGrafx’s latest characteristic ”Pia” and what makes it completely different as a GenAI answer?

Pia is our Course of Intelligence Assistant, a Generative AI assistant designed to take away one of many greatest boundaries to course of enchancment: course of documentation and modeling. Pia routinely turns pure language conversations and customary working process (SOP) paperwork into totally functioning course of diagrams. This provides workers of all technical backgrounds the chance to play a job in course of optimization. Leveraging this GenAI expertise massively accelerates an organization’s means to create correct course of diagrams that may be simply refined, up to date, and improved to assist strategic initiatives.

What are a number of the greatest hypes round GenAI that you simply’d wish to dispel right here?

Whereas GenAI is a particularly highly effective device altering the enterprise panorama, I believe firms are speeding to undertake this expertise with out clearly understanding the issues they’re attempting to unravel. Very like the adoption of automation, organizations will fail to realize the ROI they count on as a result of they’re not correctly aligning the expertise with a particular enterprise want. Additionally, firms can’t successfully deploy automation or GenAI in the event that they don’t have full transparency into their current enterprise processes. These applied sciences will merely lead to extra bottlenecks and inefficiencies if processes aren’t understood and optimized earlier than the actual fact.

When you needed to name out a number of the most attention-grabbing AI and GenAI gamers from across the international tech market, which of them would you shout out to?

One notable modern firm on this house is Skan AI. Skan AI leverages synthetic intelligence to map, analyze, and optimize enterprise processes. By utilizing AI-driven course of intelligence, Skan captures information from person interactions and digital workflows to create an in depth visualization of how processes function in real-world environments. This strategy permits organizations to realize deep insights into their operations, figuring out inefficiencies, bottlenecks, and areas for enchancment.

Additionally Learn: AiThority Interview with Joe Fernandes, VP and GM, AI Enterprise Unit at Crimson Hat

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

 



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