Martechcubejohn

As we have entered the digital era, data and analytics strategies (D&A) have become important, as these technologies can transform any business during a massive data spike. According to global research, it was observed that around 2.5 quintillion bytes of data are produced by IT companies every day; therefore, to understand the importance of data, every employee must be data literate. For a better understanding of data, the Chief Data Officers (CDOs) play an important role in making every employee data literate, i.e., able to understand, share, and have meaningful insight into data. With this

Gopi Sirineni is President and CEO of Axiado, a semiconductor company deploying a novel, AI-driven approach to platform security against ransomware, supply chain, side-channel and other cyberattacks. He is a Silicon Valley veteran with more than 25 years of experience in the semiconductor, software and systems industries. Priorto Axiado, Gopi was a vice president of Qualcomm’s Wired/Wireless Infrastructure, creating a market-dominating Wi-Fi and Wi-Fi SON technologies. His career highlights include executive positions at Marvell, AppliedMicro, Cloud Grapes, and Ubicom (acq. by Qualcomm).

We believe that the journey of developing software is as tough as quality assurance (QA) engineers want to release high-quality software products that meet customer expectations and run smoothly when implemented into their systems. Thus, in such cases, quality assurance (QA) and software testing are a must, as they play a crucial role in developing good software. Manual testing has limitations and many repetitive tasks that cannot be automated because they require human intelligence, judgment, and supervision.

Aurélien Coq is Product Manager at Esker’s headquarters in Lyon, France, where he is responsible for Esker’s Customer Service solution suite. Using his many years of business and tech experience, Aurélien works to relieve customer service professionals from time-consuming tasks and enables them to develop new skills by automating Order-to-Cash processes. Prior to Aurélien’s current position, he managed Esker’s technical support teams in both France and the U.S. and also held various positions as Product Manager and Product Owner at Esker as well as at a predictive lead scoring startup based i

Recently 70-year-old Burke Porter Group rebranded as Ascential Technologies, uniting 18 brands across medical & life sciences, transportation, and specialty Industrial end markets. The company’s mission is to play an “Ascential” role for customers throughout the product life cycle, especially when quality and safety matter most. We had the opportunity to sit down with Jeffrey Moss, who assumed the role of CEO at Ascential Technologies a little over a year ago. During our conversation, we discussed the company’s strategic direction, its commitment to innovation, and the key drivers fueling its

In the early 2000s, many companies and SMEs had one or more C-suites that were dedicated to handling the IT security and compliance framework, such as the Chief Information Security Officer (CISO), Chief Information Officer (CIO), and Chief Data Officer (CDO). These IT leaders used to team up as policymakers and further implement rules and regulations to enhance company security and fight against cyber security. But looking at the increased concerns over data privacy and the numerous techniques through which personal information is collected and used in numerous industries, the role of chief

In this technologically advanced world, companies adopting cloud computing quickly bring new opportunities to the market. IT professionals have the bandwidth to innovate new models and software, which eventually scale up better business efficiency and reduce the risk of technology hazards. However, it is quite unfortunate that most CIOs still implement the traditional models that may have been successful in the past. Still, in this digitalized world, it is almost impossible to work without cloud computing. Embracing cloud computing in enterprises ignites innovation, agility, and enhanced cust

Access to real-time data and insights has become critical to decision-making processes and for delivering customised user experiences. Industry newcomers typically go to market as ‘real-time’ natives, while more established organisations are mostly at some point on the journey toward full and immediate data capability. Adding extra horsepower to this evolution is the growth of ‘mobile-first’ implementations, whose influence over consumer expectations remains formidable. Nonetheless, sole reliance on real-time data presents challenges, challenges that predominantly circle matters of interpreta

Chris Conant, CEO of Zennify, is a seasoned technology services executive with more than 15 years in the Salesforce ecosystem. He believes that with strong teams and customers willing to embrace change, anything is possible. Good data foundations lead to useful AI outputs that provide comprehensive data analysis and insights – enabling quicker, more informed decision-making in investments, risk management, and customer service. Overall, the future of AI in the financial sector will revolutionize how financial services are delivered, making them more personalized, efficient, secure, and access

AI technology can be used to alleviate the cybersecurity workforce shortage by automating threat detection. It also has potential in training cybersecurity professionals and enhancing skill development in areas like code reverse-engineering. As the cybersecurity landscape evolves, organizations must adapt their strategies to combat emerging threats. Emphasizing employee training, robust technology defenses, and the innovative use of AI are crucial steps. Simultaneously, the industry must remain vigilant against the misuse of AI, ensuring that cybersecurity defenses stay ahead of ever-evolving

The ever-evolving digital landscape presents a constant challenge in the face of cyber threats. While traditional security methods offer a foundation, their limitations often become apparent. AI & Cybersecurity emerges as a powerful new tool, promising to enhance existing defenses and even predict future attacks. However, embracing AI necessitates careful consideration of ethical implications and fostering harmonious collaboration between humans and algorithms. Only through such mindful implementation can we build a truly resilient and secure digital future.

In the rapidly evolving landscape of artificial intelligence (AI), media companies and other businesses alike continue to find themselves entangled in a web of lawsuits and public criticism, shining a spotlight on the issue of ethical transparency. Journalism has long been plagued by issues around deception — consumers often wonder what’s sensationalism and what’s not. However, with the latest casualty in the ongoing Sports Illustrated debacle, whose reputation greatly suffered after being accused of employing non-existent authors for AI-generated articles, a new fear among consumers was unlo

There has always been a growing concern and realization of the need for environmental, social, and governance (ESG) factors as a critical component for successful business development across all sectors. From customers to stakeholders, regulators have been insisting companies consider the environmental impact and contribute their share of corporate social responsibility (CSR) programs to developing a greener society. Consequently, with the rising competition, ESG factors have arisen as crucial considerations for IT organizations across the globe.

In the fast-growing digital world, deep learning (DL) and big data are highly used methods for data scientists. Numerous companies, such as Yahoo, Amazon, and Google, have maintained data in Exabytes, which helps generate large amounts of data with the help of big data analytics and deep learning tools and techniques. Earlier data scientists used traditional data processing techniques, which came with numerous challenges in processing large data sets. However, with technological advancements in recent years, data scientists can utilize big data analytics, a sophisticated algorithm based on ma

Ulf Persson has been CEO of ABBYY since 2017. He first joined the company as a member of the ABBYY Group Board in 2002 and in March 2015, he became the Chairman of the Board. For over 25 years, Ulf has been involved as an investor and board member in 20 different growth companies, including jNetx (telecom software), UCMS (HR & accounting BPO) and MyMoney (P2P car financing). Ulf is a graduate of Stockholm School of Economics and the Swedish Defense Language Institute and holds a B.Sc. in Economics.

In recent years, artificial intelligence (AI) in the pharmaceutical industry has gained significant traction, especially in the drug discovery field, as this technology can identify and develop new medications, helping AI researchers and pharmaceutical scientists eliminate the traditional and labor-intensive techniques of trial-and-error experimentation and high-throughput screening. The successful application of AI techniques and their subsets, such as machine learning (ML) and natural language processing (NLP), also offers the potential to accelerate and improve the conventional method of a

Daniel Langkilde, CEO and co-founder of Kognic, is an experienced machine-learning expert and leads a team of data scientists, developers and industry experts that provide the leading data platform that empowers the global automotive industry’s Automated Driver Assist and Autonomous Driver systems known as ADAS/AD. Daniel is passionate about the challenge of making machine-learning useful for safety-critical applications such as autonomous driving. Prior to founding Kognic, Daniel was Team Lead for Collection & Analysis at Recorded Future, the world’s largest intelligence company maintaining

Over the last few decades, innovative technologies have changed the future of business dynamics. Therefore, every industry uses the latest technologies to move forward, and CIOs are responsible for driving such technological changes within organizations. According to Globe Research, it has been witnessed that more than 27.7% of digital transformation for better customer experience (CX) initiates are sponsored or owned by CIOs, which indicates the rapid change in customer expectations. For a better understanding and deployment of innovative digital transformation, CIOs need to work closely wit

The term robot was invented by the Robotics Institute of America in the late 1940s as a machine that executes mechanical functions just like human beings but lacks the same “sensitivity” as a human. Initially, robots were designed and employed to work like humans, especially in the manufacturing industry, FMCG industry, and automotive industry, but later, robotics engineers observed that they were capable of working in other application areas due to their ability to multitask efficiently and faster. Hence, robotics engineers introduced medical robotics into the healthcare sector, causing a dr

In the business world, when major companies decide to combine, it’s a big deal. These moves shake up the norm and can turn not only the organizations, but the entire industry on its head. But as the dust settles on the agreement, a new challenge looms large on the horizon: how to bring together two different sets of data into one without jeopardizing customer experience. As a developer of a customer data platform (CDP), I’ve observed first-hand the challenges and opportunities that arise during these transitions where data is involved. In this article, I’ll share insights on why effective dat