The role of data scientists has undergone a dramatic shift with the advent of generative AI (genAI). No longer confined to creating traditional dashboards, reports, and machine learning models, data scientists are now stepping into a broader realm of responsibilities. As genAI continues to evolve, data scientists must embrace new tools and methodologies to stay ahead of technological advancements and
In the dynamic world of business, informed decision-making is crucial to maintaining a competitive edge. Microsoft Dynamics 365 Business Central, a leading ERP solution, aids enterprises in managing finances, sales, and overall strategy. However, the effectiveness of these tasks hinges significantly on the quality of reporting tools employed. While Business Central’s standard reporting features are functional, they may not suffice
Data stewardship is a crucial responsibility in today’s data-centric organizations. It involves managing and safeguarding valuable data resources, ensuring accuracy, accessibility, and viability to meet business goals. Contrary to common belief, being a data steward isn’t a designated job title but a critical duty encompassing various roles within an enterprise. Data stewards can specialize in areas pertaining to specific business
Data science is redefining how businesses operate, making it an essential part of modern decision-making. Through analyzing vast amounts of data, companies gain actionable insights that drive growth, efficiency, and innovation. As organizations increasingly rely on data, the demand for data science professionals continues to soar, creating significant opportunities for those skilled in the field. The ability to transform data
Artificial Intelligence (AI) is increasingly being embraced by DevOps teams, transforming how software development is approached and executed. A recent survey by Techstrong Research has shed light on this trend, highlighting a growing interest and adoption rate of AI technologies among DevOps practitioners. According to the survey, which sampled 504 DevOps professionals, approximately 33% of organizations are already using AI
In today’s digital age, the choice between Flash Storage and Traditional Storage is pivotal for organizations eyeing performance, efficiency, and cost-effectiveness. Both forms of storage play crucial roles in data management, yet their operational characteristics and benefits can significantly diverge. Let’s explore how these storage solutions compare and contrast. Performance Speed and Latency Flash Storage is renowned for its superior
Big data analytics is evolving at a rapid pace, and by 2025, the landscape is expected to be transformed with advancements in artificial intelligence (AI), edge computing, and enhanced ethical practices. This article delves into the emerging trends, technologies, and practices that organizations can leverage to stay ahead in the competitive race, boost operational efficiency, and drive innovation. Let’s explore
Predictive analytics is not a new concept, but the integration of Artificial Intelligence (AI) has revolutionized how businesses harness data to forecast future events and enhance decision-making processes. This shift from reactive to proactive decision-making is transforming entire industries. Here’s a deep dive into how AI-powered predictive analytics is making an impact. The Role of AI in Predictive Analytics Predictive
Samsung has once again pushed the boundaries of storage technology with the announcement of its latest PM9E1 Gen5 SSD. Targeting the growing needs of mainstream AI PC platforms, this new SSD promises unprecedented speed and performance, leveraging Samsung’s advanced in-house technologies. As artificial intelligence continues to drive innovation across various fields, the demand for faster and more efficient data storage
The technological landscape of 2024 sees AI-driven voice generators becoming essential tools in various industries. These tools have revolutionized the creation of human-like voices, making it easier for creators to produce high-quality audio content for a multitude of applications. Innovations in machine learning and natural language processing have enabled these platforms to generate voices that are virtually indistinguishable from real
In a significant leap for enterprise-level AI infrastructure, Cloudera has introduced Cloudera AI Inference, a cutting-edge AI inference service powered by NVIDIA NIM microservices, which aims to revolutionize the performance, security, and scalability of Large Language Models (LLMs). The integration of NVIDIA’s advanced computing capabilities into Cloudera AI Inference results in a remarkable 36-fold acceleration in LLMs’ operation, substantially enhancing
Microsoft Dynamics GP users often encounter significant challenges when trying to extract and share commission data efficiently. The built-in reporting mechanisms of GP frequently fall short in offering a seamless experience, prompting users to seek out more accessible, cost-effective, and visually appealing solutions. These limitations can cause frustrations and inefficiencies, particularly for those tasked with ensuring accurate commission data flows
