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Interview with Michael Mazyar, CTO of Samanage

Interview with Michael Mazyar, CTO of Samanage

AI will become integrated into our culture, and people will use those solutions on a daily and hourly basis without even realizing it’s AI or machine learning. 

Know My Journey 

Tell us about your journey into technology and how you started at Samanage.

My background is in electrical engineering, which I studied at the Israel Institute of Technology. Before joining Samanage, I was a development manager at BitWine and a software engineer at Vizrt. I’ve worked with multiple technology development platforms and have a deep experience and knowledge of Internet, SaaS, and web technologies, as well as building robust, highly-scalable websites and web platforms with a focus on distributed computing.

Now as the CTO at Samanage, I’m responsible for implementing the Samanage service vision, including its service and technology strategy.

As a mentor in the tech industry, how should young businesses prepare for the ‘rate race’ to achieve digital transformation?

As with any big technology introduction to the workplace, businesses should carefully predict outcomes and pain points, develop a timeline and build a step-by-step process to properly implement, test and deploy new solutions.

The key to a successful, large-scale transformation is internal communication. Business leaders need to communicate early and often to all stakeholders in order to get buy-in and help them understand how it will make the business more efficient and ready for the Digital Age. Most businesses will also have to plan for a culture change, which is hard to achieve without planning and getting everyone on board.

How do you see business leaders seamlessly integrating automated workflows into their companies to stay relevant in a rapidly changing digital revolution?

Integrating automated workflows into any business process should start with a careful selection of the platform by vetting the solutions. In this early stage of the AI revolution, vendors differ in the maturity levels of their solutions, so choosing the right one might mean the difference between success and failure.

After selecting a solution that has a history of reaching objectives, businesses should follow the process of planning, communicating and training end users, as well as testing, implementing and measuring the adoption of the solution to stay on track of meeting the planned outcomes.

What role does training play in bringing employees up to the curve in utilizing automation tools?

Training is a key part in digitally transforming a business, especially when we talk about something as revolutionary and paradigm-shifting as AI and machine learning.

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The investment it takes to bring in and implement AI is worthless without a strong buy-in from the end users of those technologies. The proper training will help end users understand the strong and weak sides of new technologies and learn the most effective ways to utilize them.

Which is harder – choosing machine-level intelligence or working with them? How could using virtual assistant make it easier to decide on this?

When looking to implement AI solutions, businesses should spend more time upfront on selection and implementation because it will make working with those solutions much easier. It ensures those solutions will solve business needs rather than be overly complicated, risking employees opting out and preventing the business from achieving planned outcomes. Virtual assistants are a great way to make AI solutions more accessible to end users.

Would most businesses turn to AI eventually for better performance in the digital landscape?

Businesses that want to stay relevant and competitive will have to use AI solutions in one way or another. Whether it’s building competency internally or utilizing third-party services that rely heavily on AI, every business will eventually turn to these technologies. Without implementing data analysis and AI solutions into business processes, organizations risk losing a competitive edge.

Read Also: The AI Gold Rush: How To Make Money Off AI And Machine Learning!

Where do you see AI/Machine learning and other smart technologies heading beyond 2020?

By 2020, many common processes that are manual today will be automated.

AI and machine learning will become ubiquitous and built into almost every digital service we use for both business and personal use. AI will become integrated into our culture, and people will use those solutions on a daily and hourly basis without even realizing it’s AI or machine learning. 

The Good, Bad and Ugly about AI that you have heard or predict…

The Good:

Automating data introspection and analysis improves business efficiency. Businesses relying on AI will be able to tailor their solutions to customer needs, and in turn, increase efficiency for their customers and solve more of their business objectives.

The Bad:

As with any advances in technology, the power that AI solutions offer can be used for both good and bad. For example, AI is being used to correct software security vulnerabilities, but it’s also being used for military solutions. AI is like any other tool in our ever-growing digital toolkit, which can be used to change our lives for better or for worse.

The Ugly:

No technology revolution occurs without errors and wrong turns. Building AI solutions for the future will take trial and error along the way. As we rely on AI more and more, some errors might become more serious. A good example of this was Microsoft’s Twitter chatbot that was launched in 2016 and had to be removed after several hours because it became very offensive. The consequences of these kinds of errors become even more dangerous when they occur in healthcare or military industries. 

The Crystal Gaze

What automation and related tech start-ups and labs are you keenly following?
What technologies within Cloud computing are you interested in?

AI/Machine Learning, Serverless, Docker/Containerization, Blockchain as a decentralized applications platform.

As a tech leader, what industries you think would be fastest to adopting Cloud integration and AI/ML with smooth efficiency? What are the new emerging markets for automation technology markets?

Healthcare, Transportation, Finance.

Thank you, Michael! That was fun and hope to see you back on AiThority soon.

Michael Mazyar is responsible for implementing the Samanage service vision, including all service and technology strategy and serves as our Chief Technology Officer.

A veteran of multiple technology development platforms, Michael has deep experience and knowledge of Internet, SaaS and web technologies and building robust, highly scalable websites and web platforms with a focus on distributed computing. Before joining Samanage, Michael was a development manager at BitWine, and software engineer at vizrt. Michael received his B.Sc in Electrical Engineering from the Israel Institute of Technology.

Samanage, the service success company, is the most reviewed and highest rated IT service desk solution. We are redefining employee service experiences by empowering organizations to maximize the potential from their most important asset – their people. Samanage’s cloud-based employee service management platform is smart, easy to use, and inspires companies ranging from startups to global market leaders to simplify complex tasks and automate services across their entire organization. With more than 2,000 customers around the world in a variety of vertical markets, our software can be tailored to meet specific service needs.

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