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 […]
7 Essential Roles for a Successful AWS Migration
Increasingly more organizations initiate AWS migration due to the advantages provided by the AWS cloud platform. According to The Business Value of Migrating to AWS survey, 43% of AWS adopters report lower time-to-market for new features, 20% report infrastructure cost savings, and 66% note an increase in administrator productivity. However, AWS migration is a challenging task requiring a […]
Becoming Data-Driven Without a Data Analyst
Data analysts are an important part of modern business, and this article will not argue otherwise. But it will argue that not every company, department, and team needs a data analyst to become data-driven. Before being hired as senior product manager of a data integration platform, I had little experience working directly with data tools. But I knew […]
What Is GitOps and How Can It Support Machine Learning Operations?
GitOps is a way of implementing continuous delivery for cloud native applications. It is based on the idea of using Git as a single source of truth for declarative infrastructure and applications. In GitOps, the desired state of the infrastructure and applications is stored in version control, and an automated process is used to ensure […]
Demystifying Actionable Insights in Data and Analytics
Every company today is a data company. Organizations worldwide are striving to derive business insights from the enormous amounts of data that are captured and stored to measure and improve business performance. McKinsey found that insight-driven companies report EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25%. According to Forrester, organizations that use data […]
Distributed Tracing in Microservices: A Comprehensive Guide
Today, one of the most popular techniques to achieve high levels of performance and reliability in your software applications is by leveraging the power of microservices architecture. This architectural style breaks down a monolithic application into smaller, more manageable services that can be independently developed, deployed, and scaled. While this approach offers numerous benefits, it […]
AI Chatbots Revolutionize Depression Management and Mental Health Support
In this digital era, the emergence of AI has opened up avenues for a remarkable companion in combatting mental health issues such as depression. Ready yourself as we investigate how AI chatbots are rewriting the rules of mental health care and providing new hope and advanced strategies for managing depression. One of the most advantageous […]
Why IT Leaders Are Embracing Edge Computing: Security, Serviceability, and Scalability
To counter current economic pressures such as inflation, scarce talent, and supply constraints, 80% of companies are increasing investments in digital technology, according to a report by Gartner. Driving these initiatives are IT leaders, who – depending on the industry they work in – are increasingly doing so in operational environments like factories, production sites, and even […]
Domain-Specific AI Models Render Conversational AI More Effective
According to Gartner, 80% of executives believe organizations can apply AI to any business decision. However, an AI-based decision is only as effective as the training data on which the AI model is built. The most effective, advanced solutions focus on domain-specific AI and ensure training data used in AI models is highly accurate and reliable. […]