Data isn’t just a byproduct of operations – it’s a goldmine waiting to be tapped. The strategy of “Modernize to Monetize” or “Data to Dollars” has taken center stage, endorsed …
The word “Expunge” implies erasing or removing something unwanted. In the data’s context, it signifies eliminating uncertainty and doubt from decision-making processes (Data Governance & Data Assurance – Good decisions …
In the world of big data, managing huge chunks of data has become a challenge for companies and business owners. Companies undergo a lot of inconveniences while analyzing data and …
Data modernization strategies for improved fraud detection in banking involve leveraging advanced technologies and techniques to enhance the detection and prevention of fraudulent activities. Here are some key strategies to …
Introduction Developing software applications involves leveraging technologies and established practices. When building a healthcare solution like an interactive chatbot, integrating Chat-GPT, Test-Driven Development (TDD), and the Cucumber framework enhances development …
As the number of devices connected to the internet grows at an unprecedented rate, the amount of data generated by these devices is also increasing exponentially. This surge of data …
The blog belongs to those who are interested in data, and you can discover how to combine the powerful data analytics tools Looker Studio and Big Query here, along with …
Introduction: Metadata plays a pivotal role in the world of data visualisation and further provides insights in the data-driven decision-making industry. Its importance is clearly evident in popular BI tools …
In the vast realm of technology, certain concepts and innovations often go unnoticed, overshadowed by the glitz and glamour of Hollywood’s most iconic characters. Just as some actors hide in …
Data warehousing has long been a cornerstone of business intelligence, providing organizations with a centralized repository for storing and analyzing vast amounts of data. However, if we see the digital …
ALERT! ENTERPRISES DEMAND MORE DISCIPLINE WITH CLOUD COSTS (A wake-up call for businesses) Cloud costs comprise about 20% of IT spending, and no one wants a shockingly high bill. As …
Introduction In the modern era of software development, collaboration among team members is more important than ever. With teams spread across different locations and time zones, communication and coordination become …
The term “data visualization” can be deceptive, giving the impression that creating great charts is a mechanical process focusing solely on tools and procedures. However, visualization’s ultimate goal is to …
Data monetization It is the practice of generating revenue or extracting value from data assets by utilizing owned or accessed data to gain insights, make informed decisions, and establish fresh …
McKinsey’s report, ‘The Data-Driven Enterprise of 2025’, points out how though organizations apply data-driven approaches such as predictive analytics and AI-driven automation, it is still sporadic, ineffective, and time-consuming. By …
AI has undeniably revolutionized our lives, brought unparalleled convenience and paving the way for a promising future, from simple conveniences like text autocorrection to groundbreaking calculations propelling us towards a …
Introduction Strong data management systems are essential in the digital world because data is essential to enterprises. Due to its scalability, flexibility, and usability, Snowflake, a cloud-based data warehouse system, …
Navigating the VUCA world can be challenging, especially for the BFSI sector. With, Together it’s a VUCA world, and the industry faces numerous hurdles. Not Without Pitfalls With vast amounts …
Data wrangling plays a critical role in machine learning. It refers to the process of cleaning, transforming, and preparing raw data for analysis, with the goal of ensuring that the …
In this blog we are going to learn about Power BI.pbit files, Power BI desktop file Meta data, Extraction of Power BI Meta data and saving it as an excel …
Introduction More than ever, the human race is discovering, revolving, and revolving. The revolution in Artificial Intelligence Domain has brought the whole human species to a new Dawn of personalized …
Data is often referred to as the new oil of the 21st century. Because it is a valuable resource that powers the digital economy in a similar way that oil …
In today’s quick-paced, real-time digital era, does the data warehouse still have a place?Absolutely! Despite the rapid advancements in technologies such as AI and NLP, data warehousing continues to play …
In recent years, artificial intelligence has emerged as one of the main empowering technologies used all over the world. Last year, global spending on artificial intelligence reached $100 billion, and …
Step-by-Step Guide to Scanned Bank Statement Data Extraction with TrOcr in Python Now let’s dive into the step-by-step guide on how to use TROCR for scanned bank statement data extraction …
Introduction Bank statements are essential financial documents that contain crucial information about a person or a business’s financial transactions. Extracting data from digital and scanned bank statements can be a …
Introduction Keeping up-to-date with the latest code changes in a GitHub repository is important for team members on a project. However, constantly monitoring a repository for changes can be time-consuming …
From planning travel itineraries to writing poetry, and even getting a research thesis generated, ChatGPT and its ‘brethren’ generative AI tools such as Sydney and Bard have been much in …
A step-by-step tutorial for optimizing the whisper model with transformers is provided in this blog. The procedures for data pre-processing are explained in detail. To fine-tune, we’ll use a base …
Data democratization entails making data accessible to all employees within the organization, regardless of their technical proficiency, and doing away with gatekeepers who would otherwise create a bottleneck at the data’s …
Corporates manage multiple data marts around the data warehouse and complex ETL pipelines to make it available to the BI tools for various Subject Areas or Lines of Business. It …
Domo is a cloud-based business intelligence platform that offers a comprehensive solution for data management, analysis, and visualisation. It enables organisations to collect data from various sources, transform and cleanse …
Databricks Lakehouse Platform creates a unified approach to the modern data stack by combining the best of data lakes and data warehouses with greater reliability, governance, and improved performance of …
Post-COVID Travel plans have suddenly increased, and many people are visiting the places they had hoped to visit. The airway enables us to travel farther than we could otherwise go, …
A number of industrial reforms that were already well underway have been accelerated by the COVID-19 epidemic and the banking sector isn’t left out. The application of technology in the …
“Vertex AI is Googles platform which provides many Machine learning services such as training models using AutoML or Custom Training.” AutoML vs Custom Training To quickly compare AutoML and custom …
What is Vertex AI? “Vertex AI is Google’s platform which provides many Machine learning services such as training models using AutoML or Custom Training.” Features of Vertex AI We use …
The cost of providing services to customers has significantly increased since the 2008 financial crisis. Traditional financial planners are losing out on new customers and income to businesses that are …
As they say, change is the only universal constant, and this fact remains valid for wealth management’s development over time. The wealth management sector has evolved over the past decade …
Traditional computing is typically server-based or cloud-based architecture needing developers to manage the infrastructure in the backend. The serverless architecture breaks these barriers and frees developers of the need to …
Without an iota of doubt, the Covid-19 period had the greatest impact on wealth management. As a result, document sharing online became prevalent, forcing employees to work online rather than …
Development and Maintenance of Enterprise Service Application for a Manufacturing Company – A Case Study A renowned global manufacturer of heating, ventilation, and air conditioning systems for commercial and residential …
According to Techjury, globally, 94 zettabytes of data will have been produced by the end of 2022. This is a gold mine for businesses, but mining and extracting useful insights …
The enterprise data landscape has become more data-driven. It has continued to evolve as businesses adopt digital transformation technologies like IoT and mobile data. In such a scenario, the traditional …
Gartner, Inc. predicts that organizations’ attention will shift from big data to small and wide data by 2025 as 70% are likely to find the latter more useful for context-based …
The Marks & Spencer Experience Marks & Spencer is a UK-based value-for-money retailer with own-label businesses in clothing, food, home, and banking services. The company serves 30 million customers annually …
Risk can now be measured, quantified, and even predicted with greater precision than ever before, thanks to risk analytics tools. This is a significant development for businesses that have historically depended on …
With unparalleled advances in risk analytics and risk management, it is time for organizations to capitalize on and capture opportunities from their data. In the advanced era of the computing …
The importance of properly organizing data for analysis is rising as the volume of available data continues to grow. Information and data are the backbones of all decision data users …
Distributed systems are used in organizations for collecting, accessing, and manipulating large volumes of data. Recently, distributed systems have become an integral component of various organizations as an exponential increase …
The financial services companies differentiate themselves from competition by providing speed, ease and variety to their customers. Some of the key challenges the industry faces include complying with regulations, preventing …
Gartner defines embedded analytics as a digital workplace capability that allows users with data analysis capabilities within their natural workflow instead of having to toggle to another application. Typically, the …
Analytics and business intelligence services require a constant feed of reliable and quality data to provide the insights businesses need for strategic decision-making in real-time. Data is typically stored in …
AI/ML and analytics engines depend on the data stack, making high availability and reliability of data critical. As many operations depend on AI-based automation, data downtime can prove disastrous, bringing …
The continuous improvement in machine learning algorithms has made data one of the key assets for businesses. Data is consumed in large volumes from data platforms and applications, creating a …
Databricks is a unified, open platform for all organizational data and is built along the architecture of a data lake. It ensures speed, scalability, and reliability by combining the best …
Introduction Artificial Intelligence (AI) is transforming nearly every part of human existence, including jobs, the economy, privacy, security, ethics, communication, war, and healthcare. For any technology to prosper in a …
Machine learning projects are expanding, with the global machine learning (ML) market expected to grow at a CAGR of 38.8%, from $21.17 billion in 2022 to $209.91 billion by 2029. …
Businesses need cost-efficiency, flexibility, and scalability with an open data management architecture to meet their growing AI and analytics needs. Data lakehouse provides businesses with capabilities for data management and …
Forty-six of the 50 top telecasts of 2017 were the NFL games (National Football League) with an average of 15.8 million viewers through the season. What made it very interesting …
