Kobi Kalif is the CEO and co-founder of ReasonLabs, a provider of enterprise-grade cybersecurity protection to home users all around the world. Kobi is an entrepreneur and engineer with more than 15 years of experience in cybersecurity and research & development. Before acting as ReasonLabs’ CEO, he worked at various startups and enterprises leading development teams and serving as a VP of R&D. Outside of leading his team of cyber defenders, Kobi enjoys playing basketball and spending time with his two kids. He resides in Tel Aviv, Israel
Facing issue in account approval? email us at info@ipt.pw
FREE SEO TOOLS to Explore
In this digital world, data governance is a critical tool for operating any data-driven organization. As data continues to be favored in business operations, data governance measures are required to keep all data secure, accurate, and updated. Therefore, to remain on top of the data governance game, the data engineering teams must understand the multiple options that will aid them in developing data governance strategies that perfectly suit their respective businesses. So to stay ahead of the technological curve, we will look at some of the top data governance trends and forecasts for 2024, w
Generative AI has swiftly become popular among marketers and has the potential to grow to a $1.3 trillion industry in the next 10 years. OpenAI’s ChatGPT is just one growth example—rocketing to over 100 million users in just two months of its release. Many have hailed generative AI as a process-changing tool that can quickly produce swaths of content with minimal human intervention, drastically scaling content production. That’s the claim anyway. But as AI becomes more prevalent, its use in content production opens several questions — does generative AI actually produce quality content? Can i
Synthetic data can be defined as data that is not acquired through actual occurrences or interactions but rather created fake data. It is specifically intended to mimic the characteristics, behaviors and organizations of actual data without copying them from actual observations. Although there exist a myriad of approaches to generating synthetic data, its generation might use simple rule-based systems or even more complicated methods, such as Machine Learning based on GANs. It is aimed at creating datasets which are as close as possible to real data, yet not causing the problems connected wit
Dor leads the product and R&D teams, overseeing product strategy and development at Connatix. At Connatix, Dor is leading the product delivery organization, including the product and the R&D teams. Previously, Dor was the founder of Kamidoo, an AI-powered text-to-storytelling technology startup that was acquired by Connatix in 2019. After joining Connatix and prior to his current role, Dor served as VP of AI and Content Automation, leading the tech team behind the company’s content analysis and generation technologies.
In this fast-paced digital world, organizations are relying on event-driven architecture (EDA) that facilitates real-time responses, flexibility, and scalability in their business systems. To understand EDA is a software design practice that structures a system’s segments to respond to, produce, and process events. For instance, any event creates a significant change in state within a system that is further triggered by external characteristics, such as user activities, sensor inputs, and other systems.The rise of microservices is one cause for the prompt adoption of event-driven API (EDAs) m
The recent ransomware attack on Change Healthcare, a subsidiary of UnitedHealth Group, has highlighted critical vulnerabilities within the healthcare sector. This incident disrupted the processing of insurance claims, causing significant distress for patients and providers alike. Pharmacies struggled to process prescriptions, and patients were forced to pay out-of-pocket for essential medications, underscoring the urgent need for robust cybersecurity measures in healthcare. The urgency of strengthening cybersecurity is not limited to the United States. In India, the scale of cyber threats fac
In an era where data is heralded as the new oil, there’s an inconvenient truth that many organizations are just beginning to confront: it is therefore important to realize that not all data is equal. With the increasing digitalization of the economy and an imperative to increasingly rely on data in products and services, the focus has been traditionally on the sheer amount of data that can be gathered to feed analytics, provide clients with personalized experiences, and inform strategic actions. However, without this policy to embrace data quality and data lineage, even the strenuous data col
AI-powered e-commerce platforms scale SMB operations by providing sophisticated pricing analysis and inventory management. Encryption and blockchain applications significantly mitigate concerns about data security and privacy by enhancing data protection and ensuring the integrity and confidentiality of information. A 2024 survey of 530 small and medium-sized businesses (SMBs) reveals that AI adoption remains modest, with only 39% leveraging this technology. Content creation seems to be the main use case, with 58% of these businesses leveraging AI to support content marketing and 49% to write
Large Language Models (LLMs) are considered to be an AI revolution, altering how users interact with technology and the world around us. Especially with deep learning algorithms in the picture data, professionals can now train huge datasets that will be able to recognize, summarize, translate, predict, and generate text and other types of content. As LLMs become an increasingly important part of our digital lives, advancements in natural language processing (NLP) applications such as translation, chatbots, and AI assistants are revolutionizing the healthcare, software development, and financi
Robert Scott is Chief Innovator at Monjur. He provides a cloud-enabled, AI-powered legal services platform allowing law firms to offer long-term recurring revenue services and unlock the potential of their legal templates and other firm IP. redefines legal services in managed services and cloud law. Recognized as Technology Lawyer of the Year, he has led strategic IT matters for major corporations, in cloud transactions, data privacy, and cybersecurity. He has an AV Rating from Martindale Hubbell, is licensed in Texas, and actively contributes through the MSP Zone podcast and industry confe
The growing importance of agility and operational efficiency has helped introduce serverless solutions as a revolutionary concept in today’s data processing field. This is not just a revolution, but an evolution that is changing the whole face of infrastructure development and its scale and cost factors on an organizational level. Overall, For companies that are trying to deal with the issues of big data, the serverless model represents an enhanced approach in terms of the modern requirements to the speed, flexibility, and leveraging of the latest trends.
Piers Horak is Chief Executive Officer of The ai Corporation (ai). Horak brings over 15 years of extensive expertise in enterprise retail payments, banking, and fraud prevention. Horak is responsible for building on ai’s track record of developing innovative technology that allows its clients and their customers to take control and grow profitably by managing omnichannel payments and stopping fraud. The ai Corporation (ai) is to revolutionise the retail fuel and mobility sector with secure, efficient, and seamless payment solutions while leading the charge against transaction fraud. ai delive
Data lineage tools are sophisticated software designed for complete data management within the organizational context. These tools’ primary role is to systematically record and illustrate the course of data elements from their source through various stages of processing and modification, ultimately reaching the pinnacle in their consumption or storage. They can help your organization to understand and manage data. However, currently, you will find a lot of data lineage tool alternatives out there, but no worries, as AITech Park has narrowed down the best option for your company that will help
In a shocking revelation, a massive data leak has exposed sensitive personal information of over 1.6 million individuals, including Indian military personnel, police officers, teachers, and railway workers. This breach, discovered by cybersecurity researcher Jeremiah Fowler, included biometric data, birth certificates, and employment records and was linked to the Hyderabad-based companies ThoughtGreen Technologies and Timing Technologies. The impact of such breaches goes far beyond what was capable years ago. In the past, stolen identity would have led to the opening of fake credit cards or o
As organizations continue doubling their reliance on data, the question of having credible data becomes more and more important. However, with the increase in volume and variety of the data, high quality and keeping track of where the data is coming from and how it is being transformed become essential for building credibility with the data. This blog is about data quality and data lineage and how both concepts contribute to the creation of a rock-solid foundation of trust and reliability in any organization.
The rapid advancement of AI has revolutionized industries worldwide, transforming the way businesses operate. While some organizations are still catching up, AI is undeniably a game-changer, reshaping industries and redefining enterprise operations. Estimates from Goldman Sachs suggest that AI has the potential to increase global GDP by approximately 7% (almost $7 trillion) over the next decade by enhancing labor productivity. Even with conservative predictions, AI is poised to drive significant progress in the global economy.
In the digital world, the serverless framework is one of the most innovative technologies that allows software developers (SDEs) to build and deploy applications without the requirement to address the underlying server infrastructure. Numerous organizations are gradually switching to serverless computing frameworks as they help them achieve faster, simpler software development and eliminate traditional monolithic software models. However, implementing serverless computing SDEs requires frameworks that will help them to focus solely on writing code to implement their application’s logic.
Balancing AI-driven innovation with sustainability requires a multifaceted approach, leveraging advanced technologies like computational storage drives, distributed computing, and expanded memory via CXL. These solutions can significantly reduce the energy consumption of AI infrastructure while maintaining high performance and operational efficiency. By addressing the challenges associated with power consumption and adopting innovative storage and processing technologies, data centers can achieve their sustainability goals and support the growing demands of AI and ML applications.
It must be noted that the existence of lakehouse architectures has brought some substantial changes in the data architecture landscape. In this evolution process, organizations are still struggling on how to handle complex and diverse data management, to which the answer is the lakehouse model. Lakehouses can be viewed as a better integration of data lakes and data warehouses to provide improved data management systems. This blog post delves into the further evolution of lakehouse architecture and explains its main concepts, recent developments, and transformation of today’s data management.