Mastering essential data analytics techniques can significantly impact business performance by providing valuable insights and driving informed decision-making. Read More “Data Driven Enterprise: Essential Data Analytics Techniques”
The cloud has revolutionized how businesses store, manage, and analyze data. Its inherent scalability and elasticity offer a compelling solution for handling ever-growing data volumes and complex analytical needs. Read More “Best Practices for Designing Scalable Data Architectures in the Cloud”
In recent years, chatbots have emerged as powerful tools for businesses to enhance customer experiences, automate tasks, and streamline communication. With advancements in large language models like GPT-4, developers now have access to sophisticated natural language processing capabilities that enable the creation of intelligent and context-aware chatbot applications. Read More “Unlocking the Power of Chatbots: A Guide to Developing Intelligent Conversational Agents with Large Language Models”
Data preparation is an integral part of designing enterprise software systems today using machine learning and AI. Enterprise scale businesses and government organisations often deal with terabytes and petabytes of data. Read More “Six Important Data Preparation Steps for Machine Learning “
Today’s business world revolves around business data, and it has grown to become the most potent tool in industries across the globe. Data has become such an essential tool that over 40% of brands around the world are planning to enhance their data-driven marketing strategy, according to this study.
Read More “Business Data Strategy: Top 7 Tips for Collecting and Using Your Business Data”
According to the National Cyber Security Alliance, 60% of SMEs & SMBs that are hacked go out of business within 6 months. Running a business is a risky proposition. Developing and maintaining a successful business in the technology driven age can be quite difficult. When it comes to security, a data breach can quickly escalate into a devastating event that has the ability to completely ruin a brand.
IBM reported that the average total cost of a breach ranges from $2.2 million to $6.9 million, depending on the number of compromised records. The average loss rises to $6.9 million when the number of compromised records are 50,000. It is $2.2 million for less than 10,000 records.
This data science and analytics video explains how advanced analytics solutions can make a difference to your business. Uncover great insights with advanced data analytics solutions. Kreyon Systems has great expertise in building dynamic data analytics solutions for business management & automation.