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Arnab Sen is an experienced professional with a career spanning over 16 years in the technology and decision science industry. He presently serves as the VP-Data Engineering at Tredence, a prominent data analytics company, where he helps organizations design their AI-ML/Cloud/Big-data strategies. With his expertise in data monetization, Arnab uncovers the latent potential of data to drive business transformations across B2B & B2C clients from diverse industries. Discover why innovation is a key driver of technology thought leadership in an exclusive interview covered with Arnab Sen, Tredence.

In today’s tech-driven environment, the constant stream of data can be an intricate and complex task for IT professionals and CEOs. The situation calls for some valid actions that can help effectively manage and analyze the vast data for small to medium businesses (SMBs) and small and medium-sized enterprises (SMEs). These companies are always looking for creative ways to do these tasks, as they have limited resources, and to approach their target audience and boost sales. AIOps tools and platforms provide you with the leverage to make your work automated and optimize various functions. Let’s

Alessio Alionço is the founder and chief executive officer of Pipefy, a global leader in no code workflow automation solutions. Brazilian-born Alionco is a high-impact global leader, and has grown Pipefy from its founding in 2015 to a company with more than 400 employees and customers in 70 countries around the world, including Visa, IBM, Volvo, Santander, and Kraft Heinz. A veteran business consultant and entrepreneur, Alionço has a Lean Six Sigma Black Belt along with a certificate from the Stanford LEAD: Personal Leadership program of the Stanford University Graduate School of Business.

AI and AIOps have been transforming the future of the workplace and IT operations, which accelerates digital transformations. The AIOps stands out as it uses machine learning (ML) and big data tracking, such as root cause analysis, event correlations, and outlier detection. According to the survey, large organizations have been solely relying on AIOps to track their performance. Thus, it is an exciting time for implementing AIOps that can help software engineers, DevOps teams, and other IT professionals to serve quality software and improve the effectiveness of IT operations for their compani

AIOps is a big deal in the IT industry because it has the potential to transform your business, and it is no no-brainer to go with it. To make things easy to use, we have made a list of the best AIOps solutions that have features, tools, and use cases that will help you find the perfect platform for your business. Digital transformation benefits your small business or large organization by increasing productivity with scalability in IT infrastructure, expanding data storage and resources, and accelerating application delivery.

Smart businesses are moving towards SaaS management to restore the value of cloud applications and eliminate the persisting security and compliance issues. However, the question might arise: which SMP is right for your business? The answer depends on numerous factors, which include the size of your business and its needs. The bottom line is that businesses need SaaS applications to grow and manage their needs, reduce security risks, and avoid wasting extra money on these applications. In this article, we will shed light on the top five AIOps platforms for seamless SaaS management and how to c

In the realm of technology, few terms evoke as much excitement and apprehension as Artificial Intelligence (AI). As the CEO of Neurons, a company at the forefront of predicting consumer behavior using neuroscience and AI, I’ve witnessed this dichotomy firsthand. A meeting with a leader of a large social media channel, a traditionalist in the world of research and insights. The skepticism in the room was palpable as we introduced our AI-driven solutions. The journey from apprehension to understanding to acceptance was not a sprint, but a marathon. But as they say, the longest journey begins wi

In the last few years, artificial intelligence for IT operations (AIOps) and observability have been hot topics in the IT operations sector. Organizations are looking for improvements in development and operation processes as these technologies have become more accessible, with various benefits and challenges. With the power of artificial intelligence (AI), machine learning (ML), and natural language processing, IT professionals such as engineers, DevOps, SRE (Site Reliability Engineering) teams, and CIOs can detect and resolve incidents, drive operations, and optimize system performance.

Embracing AI in data management provides a competitive advantage, driving sophisticated decision-making and valuable insights across industries. This article will highlight the transformative potential of AI in data management, informing data decision-makers why it is essential to seize this opportunity for growth and success. Artificial intelligence (AI) has revolutionized data management, empowering organizations to leverage data for informed decision-making. AIOps has a lot to offer, like improving key metrics and helping businesses survive and develop in an increasingly digitized environm

In the dynamic environment of IT operations, the emergence of AIOps (artificial intelligence for IT operations) has changed how IT professionals manage and optimize their systems. AIOps represent a radical shift in the integration of artificial intelligence (AI) and machine learning (ML) into conventional IT operations to enhance productivity, identify issues, and automate responses. AIOps has evolved analytics in IT operations and benefited numerous businesses by helping them make informed decisions.

Join us for a compelling interview with Adam McMullin, the visionary CEO of AvaSure. Learn about his transformative approach to healthcare solutions and commitment to patient care. Adam McMullin is the Chief Executive Officer of AvaSure, recognized as the Top Solution to Reduce the Cost of Care in the KLAS 2022 Emerging Solutions Top 20 Report. As a trusted partner of more than 1,000 hospitals, AvaSure combines remote patient monitors, virtual nurses, and other providers on a single platform to enhance clinical care.

In the fast-moving business world, IT professionals and enthusiasts cannot ignore the use of machine learning (ML) in their companies. Machine learning tends to give a better insight into improving business performance, like understanding trends and patterns that human eyes generally miss out on. Thus, Machine learning (ML) and artificial intelligence (AI) aren’t just words; rather, they have the potential to change the industry positively. Through this article, we will focus on the importance of implementing machine learning and its use cases in different industries that will benefit you in

Kenta Yasukawa is CTO and Co-Founder of Soracom, where he has led deployment of the industry’s most advanced cloud-native telecom platform, designed specifically for the needs of connected devices. Before co-founding Soracom, Kenta served as a Solutions Architect with AWS and conducted research for connected homes and cars at Ericsson Research in Tokyo and Stockholm.

Hyper-automation is a new term for technology and other industries where automation is needed. According to Gartner, hyper-automation is one of the most trending technologies that will greatly impact the next few decades. The motive of hyper-automation is to cancel out the repetitive tasks and make the whole task automatic by creating bots to perform them. These tasks will be performed with the combination of robotic process automation (RPA) and other advanced technologies like artificial intelligence (AI).

In AI-Tech Park’s commitment to uncovering the path toward realizing enterprise AI, we recently sat down with Chris Lynch, an esteemed figure in the industry and accomplished Executive Chairman and CEO of AtScale. With a remarkable track record of raising over $150 million in capital and delivering more than $7 billion in returns to investors

Before delving into their applications, let’s establish a clear understanding of RPA and AI. RPA utilizes software robots to automate repetitive tasks, while AI leverages machine learning and data analytics to replicate human intelligence. In BFSI, these technologies have the potential to reshape the way business is conducted.

As Caregility’s Chief Strategy Officer, Pete provides leadership to our growing product and solution focus in the healthcare market. He is a pioneer, innovator and leader in the field of telehealth video and communications solutions with 20 years of experience in the healthcare industry.

The Artificial Intelligence (AI) industry has experienced tremendous growth and buzz, with Generative AI leading the charge. However, it’s crucial to acknowledge that these impressive technologies are only part of the larger puzzle. In many situations, businesses require different technologies to achieve their desired outcomes.

Manav Mital is the co-founder and CEO of Cyral, a leader in data security governance that stops data exfiltration by delivering enterprise security across all databases in every cloud. He was previously the founder and CEO of Instart, a startup in the CDN space focused on improving web and mobile application performance, consumer experience, and security before it was acquired by Akamai.

Artificial intelligence (AI) has improved the outcomes for hundreds of thousands of businesses by automating and speeding up their processes. Yet, it has also helped the criminals too, making it easier for them to commit fraud and steal money. Application fraud is fast becoming one of the most prevalent forms of deception.