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In a business world that’s increasingly leaning on hybrid and multi-cloud environments for agility and competitiveness, DH2i’s recent launch of DxOperator couldn’t be more timely. For those managing SQL Server within Kubernetes — especially when dealing with the intricacies of operating across various cloud platforms — it is a true game changer. DxOperator is the result of a close relationship with the Microsoft SQL Server team, which led to the creation of a tool that is ideally suited to automate SQL Server container deployment in Kubernetes.

In the digital era, spatial computing (SC) is a rapidly evolving field as we have started to interact with humans and machines in three-dimensional spaces. Technologies under this umbrella, including augmented reality (AR) and virtual reality (VR), can redefine the enterprise’s interaction with these gadgets and unlock a new realm of possibilities and opportunities. Today, spatial computing is no longer a vision but a reality for finding the correct applications in numerous fields, especially in the business world.

Cristina Fonseca is head of AI at Zendesk. In this role, she is in charge of Zendesk’s AI and machine learning solutions while leading several teams. Cristina joined the company when Cleverly was acquired by Zendesk in 2021. Previously, Cristina co-founded Talkdesk, the first cloud-native platform that allows users to create their own call center within minutes, and raised $500M from top global investors. She is also co-founder and Venture Partner of Indico Capital Partners, the leading venture capital tech and sustainability focused firm, based in Portugal. Appointed as a Young Global Leader

As we have stepped into the realm of 2024, the artificial intelligence and data landscape is growing up for further transformation, which will drive technological advancements and marketing trends and understand enterprises’ needs. The introduction of ChatGPT in 2022 has produced different types of primary and secondary effects on semantic technology, which is helping IT organizations understand the language and its underlying structure. For instance, the semantic web and natural language processing (NLP) are both forms of semantic technology, as each has different supportive rules in the dat

The economic downturn is dramatically impacting consumer budgets, making shoppers think twice about their spending. This puts pressure on ecommerce merchants to adapt the online shopping experiences to maximize profitable conversions. As with any period of economic uncertainty, there’ll be winners and losers. The merchants that succeed will need to do more than offer the right products at the right prices. They’ll need to focus on the experience across the customer journey and that starts with following these five tips across their operations.

The holiday season is approaching, and companies are eager to organize events for employees that provide opportunities to celebrate their achievements and foster a sense of friendship. However, with the help of generative AI, event planning companies can easily arrange next-level holiday parties that will create an unforgettable employee experience for their clients in years to come.Before we dive into how generative AI has the potential to revolutionize company holiday parties, let’s get a brief understanding of this cutting-edge technology.

Ricardo Buranello has over 17 years of experience in the Technology and IoT Industry. Before joining Telit Cinterion in 2008, Ricardo worked for big technology companies such as Siemens and Totvs. With Telit, Ricardo held the position of head of Business in Latin America, and in 2017, assumed the role of Global VP for Telit Factory Solutions, driving a significant growth for the business unit. Ricardo graduated from São Paulo Catholic University with a degree in Business Administration. He also has an MBA in Business Economics by FGV-SP and business extension program from NYU – Stern.

In today’s rapidly evolving business world, regulatory compliance is not just a buzzword; it helps in the success and sustainability of organizations. Regulatory requirements become more complex as companies from various industries are turning to innovative technologies like regulatory technology (RegTech) and artificial intelligence (AI) to streamline their compliance processes and enhance efficiency. This article outlines how AI can empower your business through RegTech and how it will likely embrace compliance in the future.

As the number of generative AI tools continues to proliferate, companies must determine the risks and rewards of using the technology as well as design a framework for implementation When it comes to generative artificial intelligence (GAI), there is no going back. The genie is out of the bottle and companies must now grapple with a number of big questions. For example, what guardrails should be put in place for employees looking to take advantage of AI’s tremendous potential? Do the risks associated with the emerging technology outweigh the benefits? Is there a way for humans and machines to

In the ever-evolving landscape of theology, three revolutionary forces have gained momentum and have a promising future in reshaping industries. These three are quantum computing (QC), artificial intelligence (AI), and blockchain technology, which have already left a mark in various domains. Thus, by combining these three technologies organizations can benefit researchers by improving scalability, efficiency, and security when implemented in the real world. So, in this article, we will explore the future of quantum computing, AI, and blockchain technology by exploring the potential and powerf

The shopping season has approached, and customers are already planning their holiday splurges for the end of the year. If you are one of those 334 million Americans who are going to be part of Black Friday and Cyber Monday, you might want to take a glance at your emails and discount links for more details about the retail and e-commerce stores and make a shopping list before the sale. However, all these moves are frequently being tracked by criminals to get your information and benefit themselves. There are numerous ways that cybercriminals take undue advantage of these rush hours, from spam,

For shoppers, this is the perfect time to celebrate the holiday season, and for the e-commerce sector, it is an ideal time to get many reviews. However, during this time of the year, E-commerce stores face problems with understaffed teams, supply chain woes, and changing customer behaviors, which, when combined, create the storm of the century. As consumer behavior and preferences change every season, e-commerce merchants continuously seek innovative strategies to engage and satisfy their customers. With the help of artificial intelligence (AI), with its automation capabilities and data-drive

The acceleration in the adoption of cloud technology has revolutionised the business landscape, and in doing so, significantly altered the cybersecurity ecosystem. The vast potential of cloud technology, such as its scalability, adaptability, and cost-effectiveness, has not gone unnoticed by nefarious entities seeking opportunities for exploitation. As businesses across ASEAN continue their transition to the cloud, they are increasingly confronted with escalating incidents of data breaches, ransomware attacks, and insider threats.

Black Friday and Cyber Monday are excellent opportunities for customers to get hold of some great deals, while for retailers, it is an outstanding time to clear up their stocks. But, unfortunately, even cybercriminals utilize this time to execute scams and crimes that affect businesses. According to global collective research in 2022, there is $41 billion in fraud damages reported from the e-commerce industry. However, it is anticipated that by the end of 2023, the loss will surpass $48 billion.

In response to rapidly changing workplace needs, many companies launched into scaling up their tech stacks and providing employees with new tools that promised greater efficiency, improved productivity, and a better digital experience. Research shows, however, that 40% of employees and 44% of executives believe that employees are either somewhat or significantly over-provisioned by tech at work. As a result, workplaces now are grappling with an abundance of tools that were poorly matched both to employees’ needs and to specific workplace challenges.

With its enormous calculation speed, quantum computing (QC) has the potential to tackle a wide range of issues that traditional computers struggle to handle. The study of the nexus between quantum computing and machine learning is known as quantum machine learning (QML). Many small and medium-sized businesses (SMEs) and small-to-medium-sized businesses (SMBs) are searching for ways to use QML in all areas of science and technology. However, building quantum computers is a significant technical challenge

The rapid advancement of artificial intelligence (AI) is revolutionising our lives and work, making processes more efficient. Technologies like large-scale machine learning and natural language processing models, such as ChatGPT, are pushing the boundaries of what was once confined to the realm of science fiction. However, a significant challenge remains in bridging the gap between technical brilliance and real-world application. While AI has made significant progress in virtual environments, the introduction of AI-powered general-purpose robots in the physical world still faces substantial o

Quantum computing (QC) and machine learning (ML) are the two most hot technologies that are being adopted in the IT field. QC has the power of quantum physics to perform computation by providing an unprecedented level of scalability and accuracy; on the other hand, ML has deep learning capabilities and intelligent automation as leverage to scale out large data sets. Thus, the combination of these two applications, i.e., QC and ML, can create new opportunities that could solve complex problems with greater accuracy and efficiency than the traditional way of computing could.

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