Michael Halas on AI, Automation, Big Data & Analytics at MAGNOOS

Michael Halas, Managing Partner at MAGNOOS Information Systems, was recently interviewed by Enterprise Channels MEA about how the company has developed in the months since recent health challenges receded across the region.

To start the interview, Michael was asked how MAGNOOS stands out from competitors in the AI, automation and big data market. At the core of the differentiation is the make-up of the company; he says MAGNOOS is a value-added reseller and technology implementation specialized boutique company and, according to Halas, their competition tries to encompass all opportunities and projects in the market.

Unlike that, MAGNOOS is a very focused, quality-driven company. The company has employed the best talent in each of the places it operates in. They call in offshore resources sparingly, and when needed, but are careful to rely generally on their team working onsite with customers.

A second question from EC MEA asked about the vendor solutions MAGNOOS has used to build its implementation solutions and platforms. In the interview, Halas comments that the company builds upon the best available technologies and complements them with its own solutions to answer client needs.

MAGNOOS has built hybrid solutions largely in three strands: firstly the Digital Service Management and Operations offer springs from BMC Software. Secondly, the Automation offer builds upon Automation anywhere; and thirdly, the Data Management, Analytics, Big Data, AI end-to-end solution is built on top of Informatica, Cloudera, Microstrategy and DataRobot. What is key to enabling these collaborations is that MAGNOOS has the benefit of being a Platinum Partner of all the aforementioned major technology vendors.

Talking about how MAGNOOS implements projects, Halas suggests the company typically follows a ‘value addition’ approach while interacting with end customers, and it turns out that this is another point that helps build a lead over the competition.

“Our after-sales practice is strong and customer success is our #1 priority. We have built our legacy on top of our reputation and successful implementations, which have resulted in tens of happy customers,” he told EC MEA.

“Every time that MAGNOOS engages in a project, the requirements gathering and analysis phase takes the longest time of the project duration, in order to ensure that the requirements and pain points are all documented and will be properly addressed during project execution and build phase.”

EC MEA asked Halas about the principal pain points that end users have in the post-pandemic phase in the area of AI, automation, big data and analytics and related capacities. According to Michael, “The competitive advantage is coming only by understanding your biggest asset, which is your data and by taking advantage of the benefits of applying automation across the entire business functions.”

“However, these programs most of the times are being run in departmental level and are siloed. Furthermore, end users set high expectations from these programs that cannot be realistically met, since the basic prerequisites, like the quality of the data are not good.”

“MAGNOOS has managed to come up with easily digestible use cases in the areas of RPA, AI and HyperIntelligence which can be simply deployed and demonstrate the value in a matter of weeks and not months, years. We understand that the adoption of AI is the principal pain point of the end users, so we have targeted entry level packages across all sectors.”

Read the full interview on Enterprise Channels MEA, here