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Introduction The post-pandemic era has reinstated the importance of having more than one source of income as the cost of living has skyrocketed beyond measures. Having side hustles in 2023 is great if you believe your knowledge and talents may help you earn more. As a profession, data science is booming. Data scientists are increasingly […] The post High Paying Side Hustles for Experienced Data Scientists in 2023 appeared first on Analytics Vidhya.
The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth. It’s not a stretch to say that across the board, CIOs are continuing to invest in some form of AI. Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year.
I’ve previously written about the analytics continuum, which spans a range of capabilities including reporting, visualization, planning, real-time processes, natural language processing, artificial intelligence and machine learning. I’ve also written about the analysis that goes into making intelligent decisions with decision intelligence. In this perspective, I’d like to focus on one end of the analytics continuum, which I’ll label advanced analytics.
Everybody knows about ChatGPT. And everybody knows about ChatGPT’s propensity to “make up” facts and details when it needs to, a phenomenon that’s come to be called “hallucination.” And everyone has seen arguments that this will bring about the end of civilization as we know it. I’m not going to argue with any of that. None of us want to drown in masses of “fake news,” generated at scale by AI bots that are funded by organizations whose intentions are most likely malign.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Introduction Machine learning models have come a long way in the past few decades but still face several challenges, including robustness. Robustness refers to the ability of a model to work well on unseen data, an essential requirement for real-world applications. Adversarial learning is a promising approach for addressing this challenge and has recently gained […] The post Exploring the Use of Adversarial Learning in Improving Model Robustness appeared first on Analytics Vidhya.
Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.
Table of Contents 1) What Is White Label BI? 2) What Is Embedded BI? 3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. A recent study by Experian, shows that 84% of surveyed businesses said that there has been more demand for data insights within the company since COVID-19.
Table of Contents 1) What Is White Label BI? 2) What Is Embedded BI? 3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. A recent study by Experian, shows that 84% of surveyed businesses said that there has been more demand for data insights within the company since COVID-19.
It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price. What didn’t receive as much news coverage (though in the last few days, it’s been well discussed online) are the many mistakes that Microsoft’s new search engine, Sydney, made.
Introduction We are witnessing a revolution in the world due to artificial intelligence. This branch of computer science focuses on creating machines that mimic human intelligence in speech recognition, problem-solving, and pattern recognition tasks. Rapid advancements in AI technology have become a ubiquitous part of our daily activities, enhancing everything from consumer technology to healthcare, […] The post AI in Daily Life: Applications and Threats appeared first on Analytics Vidhya.
For many of today’s global enterprises, it’s a struggle to adapt quickly to emerging challenges. With supply chain issues and the impending recession, digital transformation remains a pressing strategic imperative. However, key digital transformation milestones remain out of reach for far too many teams. To make real strides in each of these areas, Value Stream Management (VSM) has emerged as an urgent demand.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
A pictograph is a symbol that represents a word or a phrase. They were used in the earliest forms of writing and are still helpful for explaining complicated concepts quickly. One of these concepts includes technical data, information that isn’t typically user-friendly or easy to read. 10 Ways Pictographs Help Make Sense of Technical Data Pictographs are graphical representations of data that can help you visualize trends and patterns.
Introduction We have seen some fancy terms for AI and deep learning, such as pre-trained models, transfer learning, etc. Let me educate you with a widely used technology and one of the most important and effective: Transfer learning with YOLOv5. You Only Look Once, or YOLO is one of the most extensively used deep learning-based […] The post How to Train a Custom Dataset with YOLOv5?
The onset of the COVID-19 pandemic led many organizations to further adopt public clouds, and geopolitical conflicts have demonstrated the importance and need for sovereign clouds. Today, many organizations are already embracing or are moving to multi-cloud environments, but this multi-cloud reality does not come without its challenges. As the nature of the cloud evolves, so does the strategy in which organizations must approach these challenges.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Data analytics technology has played a huge role in the future of small businesses. One study from March 2020 showed that 67% of small businesses spend over $10,000 a year on data analytics. Of course, this statistic predates the pandemic. Many businesses have since invested even more in their data analytics infrastructure, since they have relied more heavily on digital technology in a post-pandemic world.
Introduction Artificial Intelligence (AI) and Data Science have become popular terms today and will continue to grow more in the coming years. AI and Data Science define a powerful new era of computing that has the potential to revolutionize how people interact with everyday technology. And this is happening due to combinations of computing, advanced […] The post Top 10 AI & Data Science Trends to Watch in 2023 appeared first on Analytics Vidhya.
Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!
In the previous post , I explored how useful ChatGPT currently is for data visualisation. This was done through testing this AI tool on a number of tasks and on its information retrieval ability. The results showed that ChatGPT still had some way to go on the theory and consulting side of things, as it still made mistakes and had limited knowledge on the subject.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
We have talked extensively about some of the changes machine learning has introduced to the marketing profession. According to one analysis, companies that used machine learning in their marketing strategies boosted sales by up to 50%. There are a number of ways that companies can boost their marketing strategies with machine learning technology. One of the biggest benefits involves using machine learning to improve the performance of their social media marketing strategies.
Introduction Are you interested in exploring the latest advancements in the data tech industry? Do you want to enhance your career growth or transition into the field? Look no further! Introducing DataHour – a series of expert-led webinars where you can gain hands-on experience, deepen your understanding and connect with leaders in the field. From […] The post Unlock Learning in the February DataHour Sessions appeared first on Analytics Vidhya.
Experts reveal that by 2027, cloud adoption will be mainstream, with 90% of enterprises implementing some kind of cloud strategy. What’s key is that, in the process, the cloud won’t just be a technology disruptor — it will be a business disruptor. What does this mean for your business? If you don’t tackle the challenges associated with cloud adoption today, you will be at a competitive disadvantage tomorrow.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
We have talked extensively about some of the biggest changes brought on by artificial intelligence technology over the last few years. Two of the many fields that has been affected by breakthroughs in AI is web development and mobile application development. We previously talked about some of the benefits of using AI to create great mobile applications.
Introduction PyTorch is a popular open-source machine-learning library that has recently gained immense popularity among data scientists and researchers. With its easy-to-use interface, dynamic computational graph, and rich ecosystem of tools and resources, PyTorch has made deep learning accessible to a wider audience than ever before. However, like any other technology, PyTorch is not immune […] The post PyTorch: A Comprehensive Guide to Common Mistakes appeared first on Analytics Vidhya.
By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Instant reactions to fraudulent activities at banks. Improved recommendations for online transactions. Better patient care at hospitals. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
We have discussed the compelling role that data analytics plays in various industries. In December, we shared five key ways that data analytics can help businesses grow. The gaming industry is among those most affected by breakthroughs in data analytics. A growing number of gaming developers are utilizing big data to make their content more engaging.
Introduction Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Through these webinars, you’ll gain hands-on experience, deepen your understanding […] The post Join DataHour Sessions With Industry Experts appeared first on Analytics Vidhya.
In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.
Aside from commercial real estate dealers, office equipment vendors were among the hardest hit by the massive office evacuation following the pandemic. But the death of the office was much exaggerated, say some affected CIOs, who point to an increasing number of corporate mandates for employees to return to the office for at least three days per week as the telltale of better business ahead for them.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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