In today’s interconnected world, businesses not only grapple with the management of vast amounts of data but also face the looming threat of illegal data concealed within their digital repositories. This proliferation of illegal data presents a range of risks and challenges that organizations must confront. Illegal data encompasses a broad spectrum of content or […]
10 Ways to Enhance Your Data Analysis Skills
In our increasingly data-driven world, the ability to analyze data has become a valuable skill. Data analysis skills empower us to make informed decisions, uncover hidden patterns, and extract meaningful insights. With the demand for professionals skilled in data analysis on the rise, acquiring these abilities is more important than ever. In this article, we will […]
Unlocking Success with Digital Transformation: A Strategic Roadmap for the Board
Digital transformation presents organizations with immense opportunities, but seizing them requires a strategic approach and careful selection of appropriate technologies. A recent study conducted by Deloitte that examined financial disclosures from over 4,000 global organizations, spanning a decade, revealed that “the right combination of digital transformation actions can unlock as much as $1.25 trillion in additional market […]
The Lifecycle of the Cloud
In the early years of the cloud, the prevailing notion was straightforward: Store everything in the public cloud and stay there indefinitely. This approach made sense as businesses sought to enhance elasticity, developer agility, service availability, and flexibility. However, as these businesses have grown, the landscape has changed. While there are still numerous reasons to […]
Why the Future Success of Organizations Relies on Innovation from IT
Organizations are sitting on a mountain of data and untapped business intelligence, all stored across various internal and external systems. Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors. And the organizations that can answer the tough questions […]
Converging IT Observability and Cybersecurity
Only a few years ago, IT teams and their security counterparts worked in separate silos. But as organizations face escalating threats and breaches, there is a burning need to converge IT observability and cybersecurity. The single biggest driver of this convergence is the need to share critical data to help security teams improve cyber resilience. […]
The Growing Impact of AI on Data Science in 2023
While AI’s ubiquity is becoming increasingly evident through everyday tools like chatbots, smart cameras, and smart content generation, there’s an expansive universe of less recognized but highly potent advancements poised to redefine how data scientists interact with and leverage the burgeoning volume and complexity of datasets. Emerging AI trends such as natural language processing, reinforcement learning, […]
Predictive Analytics Use Cases for Citizen Data Scientists
Gartner technology analysts predict that organizations leveraging augmented analytics solutions will grow at twice the rate of those that do not use these solutions. Those organizations that provide self-serve augmented analytics to their business users can achieve market goals and stay abreast of the competition with fact-based decision-making and a team that leverages analytics daily to make those […]
Data Portability May Save Your Cloud Workloads
As businesses try to optimize their costs during economic downturns, ramping up cloud spend can be a pain point. Efforts to alleviate this – from, say, moving workloads to a cost-effective environment/on-prem or re-architecting to save costs – become difficult, as organizations often find themselves strapped for technical agility. With modern businesses carrying so much […]
Assumptions in Regression: Why, What, and How
“Garbage in, garbage out” defines the importance of data in data science or machine learning in a nutshell. Incorrect input will yield meaningless results and screening data ensures we get comprehensible results. Before we start building models and generating insights, we need to ensure that the quality of the data we are working with is […]