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Entrepreneurship has always been a driving force behind economic growth, job creation, and societal progress. However, the traditional entrepreneurial landscape is not without its challenges. Barriers to entry, limited access to capital, and complex regulatory frameworks have often hindered aspiring entrepreneurs from fully realizing their dreams.

Telehealth services allow clinical professionals to provide their patients with the optimum health care advice, consultations and medical intervention and complete basic diagnostic procedures, from the comfort of the patient’s home. During the trying times of the pandemic, this fascinating technology allowed patients to acquire any medical advice needed, without having to leave the premises and risk exposing themselves to possible viral spread.

AI has emerged as a powerful force of transformation, revolutionizing numerous sectors, and breathing new life into traditional processes. From healthcare and finance to transportation and manufacturing, the influence of AI is undeniable. But what about the creative industry?

The realms of artificial intelligence and innovation are expanding at an unprecedented pace today. This gives rise to a paramount question: How can we ensure that AI is developed and utilized responsibly? As organizations embrace the transformative power of AI, there is an urgent need for ethical considerations to guide decision-making at the highest levels.

The business world is increasingly turning to artificial intelligence (AI) systems and machine learning (ML) algorithms to automate complex and simple decision-making processes. Thus, to break through the paradigm in the field of IT operations, IT professionals and top managers started opting for AIOps platforms, tools, and software, as they promised to streamline, optimize, and automate numerous tasks quickly and efficiently. However, there are a few shortcomings, like algorithmic bias, that have been a major concern for IT professionals and other employees in the company.

Quantum computing is currently an emerging field that requires the development of computers based on the principles of quantum mechanics. Recently, scientists, technologists, and software engineers have found advancements in QC, which include increasingly stable qubits, successful demonstrations of quantum supremacy, and efficient error correction techniques. By leveraging entangled qubits, quantum computing enables dramatic advances in ML models that are faster and more accurate than before. As cybersecurity is constantly evolving, companies are seeking ways to automate their security soluti

Digital Twins have captured the attention of businesses across various industries due to their potential to enhance operations, product offerings, and overall business value. Originally inspired by the space program, recent developments in Digital Twin ideas have paved the way for their widespread deployment.

A recent McKinsey & Co. report found that over 70 percent of customers today expect personalized outreach from the companies they buy from. In fact, more than three out of four points to personalization as the factor most likely to turn them into a repeat customer that’s willing to recommend the product to friends and/or peers.

Endpoint Detection and Response (EDR) refers to a type of cybersecurity technology that focuses on detecting and responding to security threats on individual devices, such as laptops, desktops, and mobile devices. EDR tools provide advanced monitoring and analytics capabilities, which allows security teams to detect suspicious behavior on endpoints, such as malware infections, unauthorized access attempts, and data exfiltration.

Data integration is the process of combining information from many sources into a single, unified picture to manage data effectively, get an insightful understanding, and obtain actionable intelligence. It helps improve your business strategies, which would have a favorable effect on your bottom line.

The rise and understandability of AI systems have become serious topics in the AI tech sector as a result of AI’s rise. The demand for Explainable AI (XAI) has increased as these systems become more complicated and capable of making crucial judgments. This poses a critical question: Does XAI have the capacity to completely replace human positions, or does it primarily empower human experts?

Ulf Zetterberg is Co-CEO at enterprise search provider, Sinequa. Ulf has over 25 years of experience of leadership for global enterprise software companies. He co-founded Seal Software, the first to use an AI-powered platform to add intelligence, automation and visualization capabilities to enhance the management and utilization of contract data, in 2010.

Artificial intelligence (AI) has long been positioned (by its creators) as a force for good. A labour-saving, cost-reducing tool that has the potential to improve accuracy and efficiency in all manner of fields. It’s already been used across sectors – from finance to healthcare – and it’s changing the way we work. But the time has come to ask, ‘at what cost?’ Because the more AI is developed and deployed, the more examples are being found of a darker side to the technology.

Conrado Vina is a Founding Partner & Head of Partnerships at Qubika. He has 20 years of experience in the tech industry, he previously worked at Feng Office, Moove-it, Cuti – Cámara Uruguaya de Tecnologías de la Información, and CEPA International. At CEPA International, they were in charge of development and maintenance of CEPA’s software and infrastructure systems.

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.

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.

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.

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.

In today’s rapidly evolving business landscape, the Banking, Financial Services, and Insurance (BFSI) sector is at the forefront of digital transformation. To succeed in this dynamic environment, industry leaders, executives, and decision-makers must not only recognize the challenges but also harness the opportunities presented by technology. This article is a comprehensive exploration of how Robotic Process Automation (RPA) and Artificial Intelligence (AI) provide strategic solutions to address these challenges, foster innovation, and drive growth within the BFSI sector.

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, Chris possesses invaluable knowledge about what it takes to achieve remarkable results in the fields of AI, data, and cybersecurity. During our interview, Chris shared his insights into the key leadership qualities that drive success when building a com