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Martechcubejohn

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Picture a world where your professional services business operates like a well-oiled machine, effortlessly balancing resources, predicting project outcomes, and communicating with precision. This isn’t a far-off dream—it’s the reality that Artificial Intelligence (AI) is bringing to the professional services industry right now. As the lines between human expertise and technological capabilities blur, AI is emerging as the secret weapon for firms looking to surge ahead in a fiercely competitive market. By leveraging AI-powered Professional Services Automation (PSA) software, firms can optimize
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In today’s fast-paced business landscape, data is not just an asset; it’s a cornerstone of strategic decision-making. For B2B companies, leveraging data effectively can create significant competitive advantages, enabling them to understand their customers better, streamline operations, and drive innovation. This article explores the importance of a robust data strategy and how businesses can harness data to outpace their competition. Embracing a culture of data-driven decision-making will not only empower organizations to thrive but also position them as leaders in their industries.
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Sebastian is Storyblok’s VP of Engineering as an experienced developer, team builder, and leader with over 10 years of experience in CMS systems, security, performance, and usability as his primary focus points. Outside of work, Sebastian is passionate about organizing community events for developers and is always up for a good cup of coffee. Establishing strong access controls to limit access to sensitive information and ensuring robust authentication methods are also critical. Continuous monitoring of AI tool usage and keeping an eye on any suspicious activity will help in early detection
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Chief Information Security Officers (CISOs) have some serious responsibilities on their shoulders as they single-handedly carry the security policies and enforcement, which are directly proportionate to an entire company’s success or downfall. CISO’s insights and knowledge allow a company to balance out supporting its internal team while guarding the organization’s data and infrastructure. However, in recent years, CISOs have witnessed shifts in the cybersecurity realm; especially with the technological advancements, cyberattacks such as phishing have increased by 58%, consisting of 90% data
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AI avatars can guide customers through technical diagnostic processes to identify problems with their devices or telecommunications services, such as internet connectivity issues or mobile device failures. This significantly reduces wait times for customers and reduces the volume of queries reaching support centers. AI avatars are redefining customer service by providing innovative and efficient solutions that benefit both consumers and businesses. In sectors such as healthcare and telecommunications, these technologies have demonstrated their ability to improve accessibility, reduce operatin
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There is growing concern over deepfakes, which are videos and audios that are highly realistic yet fake across various industries, but perhaps more pertinent in the B2B context. These synthetic media can mislead society and create negative impacts on reputation and financial aspects. However, it is evident that social media platforms have an essential role in addressing the fake problem and enhancing the credibility of online interactions as enterprises operate in this challenging environment. This article looks at the rise of deep fakes and also explores how popular social media companies ar
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Paige O’Neill is Chief Marketing Officer at Seismic where she leads all marketing functions including corporate, product, field, partner, and customer marketing. She is a data-driven marketer with a track record of propelling growth, delivering outstanding results, and spearheading thought leadership within the Customer Experience industry across her 30+ years of experience. Prior to Seismic, Paige served as CMO at public and private software companies including Sitecore, Prysm, SDL, and Aravo Solutions. She also spent nearly a decade at Oracle in product marketing and public relations roles.
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In recent years, computer vision (CV) has appeared as a transformative technology that reshapes the landscape of numerous industries by allowing machines to analyze and understand visual information around them. According to tech leaders, computer vision is often referred to as the eyes of artificial intelligence (AI), which makes it a transformative technology that not only revolutionizes the industries that adapted it but also becomes a cornerstone for the advancement of AI. With more technological advancements, the convergence of CV with IoT, big data analytics (BDA), and automation has gi
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Artificial intelligence has already had a positive effect on several industries, but unfortunately, this popularity and success have caused some wrongdoers to attempt to capitalize on the AI boom in unethical and illegitimate ways. One such practice is known as “AI washing,” and it is arguably one of the biggest threats to the continued growth of AI. AI washing is most easily understood by comparing it to the similar practice of greenwashing, in which companies misrepresent their products as being more eco-friendly than they actually are. Similarly, AI washing involves making false representa
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Companies are dealing with overwhelming amounts of data, and this data must be governed, compliant, and secure, especially when working in the financial, healthcare, and insurance sectors. As the complexity of data environments increases, traditional data governance approaches largely fail to address these challenges adequately and lead to the emergence of what many researchers refer to as Data Governance 2.0. undefined Laying its foundation is the metadata-driven data fabric, which represents a highly transformative approach to data management and governance, compliance, and security.
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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
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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
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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
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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
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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.
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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
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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
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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
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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
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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