Showing posts from May, 2021


  Deploying big data can be costly and extremely complex. Customers face challenges such as keeping costs contained, managing complex infrastructure, and hiring and retaining difficult-to-acquire data engineers and data scientists, on top of struggling to provide timely data access to business users. Qubole automates your big data technologies, removing the complexity while reducing the cost of managing big data and helping you run with a leaner data admin team. This results in faster time-to-value and reduced CAPEX and staffing costs. We live in the age of big data, which allows organizations to turn data into insights in a timely manner. Organizations use it to drive innovation, inform targeted marketing campaigns, and become more efficient. Because big data requires combing, processing, migrating, and analyzing data from disparate sources and types, managing and running a big data platform is complex, time-consuming, and requires specialized personnel. At the same time, data kee

Cyber warfare

                                                                                          Cyber Warfare                                                         C yberwarfare is computer- or network-based conflict involving politically motivated attacks by a nation-state on another nation-state. In these types of attacks, nation-state actors attempt to disrupt the activities of organizations or nation-states, especially for strategic or military purposes and  cyberespionage .   Cyberwarfare can take many forms, including: viruses, computer worms and  malware  that can take down water supplies, transportation systems, power grids, critical infrastructure and military systems; denial-of-service  (DoS) attacks, cybersecurity events that occur when attackers take action that prevents legitimate users from accessing targeted computer systems, devices or other network resources; hacking and theft of critical data from institutions, governments and businesses

Blockchain Technology

In recent years, “blockchain” technology has been gaining more attention from the mainstream press. Heralded by some as the fourth wave of computer technology with implications potentially as profound as the advent of modern property rights, blockchain represents far more than the Bitcoin cryptocurrency with which it is often confused. In its simplest form, blockchain is nothing more than a new type of data structure. But by bringing together a number of existing technologies in a novel way, blockchain technology secures the integrity of a network — essentially codifying “truth” and eliminating the need for “trust.” The implications are vast, and perhaps most important is the ability to exchange anything between two parties without the need for an intermediary. The asset can take any form — even intangible things like sensitive information — and the parties involved may not even be known to each other. Blockchain enables a nearly frictionless exchange of value, much like the internet h

The Intersection Of ML and IoT

  The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) is evolving towards the next generation of Tactile IoT/IIoT, which will bring together hyperconnectivity, edge computing, Distributed Ledger Technologies (DLTs) and Artificial Intelligence (AI). Future IoT applications will apply AI methods, such as machine learning (ML) and neural networks (NNs), to optimize the processing of information, as well as to integrate robotic devices, drones, autonomous vehicles, augmented and virtual reality (AR/VR), and digital assistants. These applications will engender new products, services and experiences that will offer many benefits to businesses, consumers and industries. A more human-centered perspective will allow us to maximize the effects of the next generation of IoT/IIoT technologies and applications as we move towards the integration of intelligent objects with social capabilities that need to address the interactions between autonomous systems and humans in a seaml

Artificial intelligence and Chatbots

  AI chatbots are absolutely fascinating – and they’re right on the front lines of artificial intelligence and human intelligence. Today’s AI chatbots can do it all, from helping you order a pizza, to guiding you through a complex B2B sales process. But different kinds of artificial intelligence bots are built to do different kinds of things. And that can get confusing. So I thought it was high time to highlight the difference between traditional chatbots – built to collect leads and nurture prospects – and AI chatbots. AI chatbots can understand language outside of a set of pre-programmed commands and continue learning based on the inputs it receives. They can also make changes based on patterns and become smarter over time as they experience new situations. This means AI bots can be applied to a range of uses – from sentiment analysis to making predictions about what a visitor is looking for on your website.   People often use terms like chatbot, virtual assistant, automati