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The rise of Generative AI (GenAI) has enormous potential for the banking and finance industries. By utilizing GenAI, banks and credit unions speed applications from submission to approval, save time and effort, and deliver a desirable customer experience. A recent report from the Society for Human Resource Management (SHRM) and The Burning Glass Institute details how GenAI will have an outsized role on the banking and finance industries. The report lists Morgan Stanley, Bank of America and Northwest Mutual as some of the organizations that are most likely to capitalize on the implementation o

AI and ML are changing the way we live and work. Many people think they’re reserved for tech giants, however. But increasingly we’re seeing SMEs harness the power of these tools. And the benefits are clear: artificial intelligence and machine learning can improve operations, boost customer satisfaction and help companies to outpace the competition – all of which are essential if you want your business to not only survive but thrive.Interested in knowing more? Here we look at the benefits of AI and ML in the business world as well as the perceived challenges.

While there’s no shortage of uncertainty as we countdown to 2024, the crystal ball seems to have a few things in focus for the next trip around the sun. From the long-anticipated shift from third-party cookies to first-party data to the harnessing of AI and the evolution of eCommerce, here are five key tech trends set to shape how brands connect with customers. Brands will be turning to publishers to harness their vast contextual and enriched datasets from either registered users or gleaned from the type of content being consumed in real-time.

Low-code is a way of designing and building programs that use simple graphical tools and embedded functionality to eliminate the need for traditional or pro-code writing. Users may reduce their workload by utilizing low-code platforms that use tools to speed up and simplify certain operations. Examples include testing, troubleshooting, and development. These low-code app development platforms walk users through the process of building an app with tools. The adoption of LCNC platforms is the next step in making application development simple and accessible to everyone.

Many businesses have learned the hard way that not every AI project leads to glory and success. In fact, a 2023 CIO.com survey found that more than half of AI projects fail to produce actionable results at all. There are many reasons for this, but one of the biggest causes we frequently see is a disconnect between the data scientists who are actually building the models and the end users who would consume or use the models.Leverage AI-powered insights to upskill analysts, breaking through data barriers and effortlessly navigating correlations for enhanced decision-making.

The emergence of artificial intelligence (AI) has continually reshaped a range of sectors across the business world. However, the convenience of AI needs to be balanced against the environmental consequences and the unplanned actions that often arise from the unnecessary usage of hardware, energy, and model training. With the knowledge of digital technologies and a robust foundation to support sustainable development, chief information officers (CIOs) should consider implementing AI initiatives.

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

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.

We are living in an era of change, where industries are changing their traditional way of managing and streamlining organizational goals. SMEs and SMBs are gradually gaining market share and developing well-known brands, eliminating the term monopoly, as any business with an appropriate data strategy can create its own space in this competitive landscape. To stay competitive, businesses are attracted to two potential technologies: artificial intelligence (AI) and business intelligence (BI). Combined, they offer a powerful tool that transforms raw data into implementable insight by making data

Currently, the two most dominant technologies in the world are machine learning (ML) and artificial intelligence (AI), as these aid numerous industries in resolving their business decisions. Therefore, to accelerate business-related decisions, IT professionals work on various business situations and develop data for AI and ML platforms. The ML and AI platforms pick appropriate algorithms, provide answers based on predictions, and recommend solutions for your business; however, for the longest time, stakeholders have been worried about whether to trust AI and ML-based decisions, which has been

The Internet of Things (IoT) represents one of the most significant technological evolutions of our time. With the proliferation of connected devices, from home appliances to complex industrial machinery, IoT has seamlessly integrated into the fabric of our daily lives. This integration has not come without its challenges, particularly in terms of security. As IoT devices become more ubiquitous, they also grow in complexity. The sensors, connected medical devices, and critical infrastructure systems we rely upon every day are now composed of countless components sourced from an increasing num

Prior to launching ForwardLane in 2015, Nathan worked for a number of years in the financial services and technology sectors, including roles at BNP Paribas, asset manager CQS, and the Johannesburg Stock Exchange. Nathan is passionate about AI and since founding ForwardLane has been a noted commentator on its application in financial services, spoken as a thought leader on the subject at Yale and MIT Sloan and also contributed to research initiatives with Oxford Saïd Business School, Cambridge University and the World Economic Forum.

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

Artificial intelligence (AI) has been a game changer in the business landscape, as this technology can analyze massive amounts of data, make accurate predictions, and automate the business process. However, AI and ethics problems have been in the picture for the past few years and are gradually increasing as AI becomes more pervasive. Therefore, the need of the hour is for chief information officers (CIOs) to be more vigilant and cognizant of ethical issues and find ways to eliminate or reduce bias.Before proceeding further, let us understand the source challenge of AI.

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

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 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

Digital twin (DT) is a rapidly growing concept that has gained traction as it can improve product designs, optimize performance at an industrial level, and create proactive maintenance services. This upgrading technology has started taking shape on an entirely new and different scale as it has become the pillar for futuristic smart cities. In the scenario of smart cities, digital twins work as virtual replicas of the city’s assets, such as buildings, road lighting systems, energy and grid capabilities, and mobility solutions. However, it is not enough to develop a third-dimensional (3D) model

The dawn of the digital age brought forth a range of technological advancements, reshaping industries and redefining norms. In the realm of software engineering, generative AI coding assistants, including tools like GitHub Copilot and Tabnine, epitomise this wave. Drawing from the impact of foundational models like OpenAI’s GPT and Anthopic’s Claude, these tools interpret natural language inputs to suggest and generate code snippets, amplifying developer productivity. Notably, GitHub Copilot now underpins a staggering 46% of coding tasks, enhancing coding speed by an impressive 55%.