Analytics Vidhya
MAY 11, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Humans should be worried about the threat posed by artificial intelligence. The post Is there any need of Deep Learning? appeared first on Analytics Vidhya.
Alation
MAY 10, 2021
Why Implement a Data Catalog? In a word: insight. Nowadays, businesses have more data than they know what to do with. Cutting-edge enterprises use their data to glean insights, make decisions, and drive value. In other words, they have a system in place for a data-driven strategy. But let’s rewind: how do you know you need a data catalog in the first place?
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David Menninger's Analyst Perspectives
MAY 13, 2021
Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data. To be more accurate, the original data as recorded by an organization’s various devices and systems is important.
DataKitchen
MAY 10, 2021
Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal and family time. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.
Advertiser: ZoomInfo
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.
Analytics Vidhya
MAY 10, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning is the trending digital technology in today’s world, The post Bar Chart Race of World Population by 2020 in Python appeared first on Analytics Vidhya.
BA Learnings
MAY 8, 2021
For many teams, careful planning and data-driven examination of the challenges they face are paramount to success. There is power in information and analytics, but its potency can be a double-edged sword, especially if you’re prone to analysis paralysis. This phenomenon is a form of information overload — when the group starts to overanalyze data and overthink solutions to their problem.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
DataKitchen
MAY 13, 2021
The post DataKitchen’s Chris Bergh Reveals the Steps for Enterprise DataOps Success at Data Summit Connect 2021 first appeared on DataKitchen.
Analytics Vidhya
MAY 13, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Operationalizing a Machine Learning (ML) model in production needs. The post Data Validation in Machine Learning is imperative, not optional appeared first on Analytics Vidhya.
Cloudera
MAY 10, 2021
The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment. In CDP Private Cloud, the introduction of Cloudera Data Warehouse and Cloudera Machine Learning Experiences on RedHat OpenShift Kubernetes clusters means that we can deploy new
Smart Data Collective
MAY 14, 2021
There are a lot of applications of data analytics in the modern workplace. There are a lot of benefits, particularly when it comes to CMS technology. Having good IPTV middleware (CMS) is crucial for anyone offering an IPTV or OTT platform, service, or any other kind of business or system that streams content. Your IPTV middleware is the go-between for the operator’s service or software provider and the client.
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
DataKitchen
MAY 10, 2021
As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . After establishing a solid strategy, the second phase involves planning key processes and practices to support the strategy, including “the emerging and increasingly important DataOps and ModelOps processes and methodologies.”.
Analytics Vidhya
MAY 13, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most widely used language. The post 13 Most Important Pandas Functions for Data Science appeared first on Analytics Vidhya.
Cloudera
MAY 13, 2021
Are you using the right stream processing engine for the job at hand? You might think you are—and you very well might be!—but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements.
Smart Data Collective
MAY 14, 2021
There are a number of new fields that have opened up due to recent advances in big data. Big data has played a huge role in the evolution of business development. One field that has emerged as a result of new developments in big data technology is the virtual agent. Intelligent virtual agents (IVAs) are attractive to businesses in dozens of industries thanks to their convenience and their AI capabilities.
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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.
DataRobot
MAY 11, 2021
At DataRobot, we believe in 10x-ing our efforts: returns for our customers, professional development of our team, and our platform. Today’s acquisition of Zepl does exactly that. It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels.
Analytics Vidhya
MAY 12, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In Machine learning projects, we have features that could. The post Complete Guide on Encoding Numerical Features in Machine Learning appeared first on Analytics Vidhya.
Cloudera
MAY 10, 2021
Cloudera Data Platform (CDP) provides an API that enables you to access CDP functionality from a script, or to integrate CDP features with an application. In practice you can use the CDP API to script repetitive tasks, manage CDP resources, or even create custom applications. You can learn more about the API in its official documentation. There are multiple ways to access the API, including through a dedicated CLI , through a Java SDK , and through a low-level tool called cdpcurl. cdpcurl is des
Jet Global
MAY 11, 2021
Less than half (46%) of financial executives say they are able to fully execute their responsibilities with “manual, time-consuming processes” listed by 49% of respondents as the primary obstacle. RALEIGH, N.C. – May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support.
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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.
Smart Data Collective
MAY 10, 2021
Big data has changed the nature of modern business in tremendous ways. As a result, a growing number of companies have started hiring data scientists to handle many of the different functions that they need to oversee. Companies have to take a number of things into consideration when hiring and managing data scientists. A lot of the same principles apply as with managing and onboarding other employees.
Analytics Vidhya
MAY 14, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction If you have experience in Machine Learning, specifically supervised. The post Bayesian Optimization: bayes_opt or hyperopt appeared first on Analytics Vidhya.
Juice Analytics
MAY 14, 2021
I recently spoke with the team at SourceForge , a leading platform for the distribution and discovery of software solutions. The interview ended up summarizing our journey as a company to transform how people communicate with data. Here’s the transcript: SourceForge: You have said that the challenges faced by the analytics industry are more social than technical.
Jet Global
MAY 14, 2021
This guide updates our ERP thought-leadership rankings for 2021. Rankings are based on these ERP thought leaders’ social media presence and the frequency at which they publish. These rankings highlight the thinkers with the biggest impact on the present and future of ERP by analyzing who is speaking the loudest to the largest audience. This year, our list has some new entrants, along with some changes in rankings for previous top-ten leaders.
Advertiser: ZoomInfo
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!
Depict Data Studio
MAY 11, 2021
Ready for an advanced presentation technique? Want to make sure your audience is engaged? No, those 10-minute Q&As at the end of a presentation don’t count as adequate engagement. Let’s notch up our engagement! In this blog post, you’ll learn about the “Choose Your Own Adventure” method for engaging our audiences during presentations. In March 2021, I was speaking at the Nonprofit Technology Network ’s conference, 21NTC , and I used this technique.
Analytics Vidhya
MAY 10, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In this article, I have curated a list of 20. The post Top 20 Conceptual Questions To Test Your Data Science Skills In 2021 appeared first on Analytics Vidhya.
Sisense
MAY 11, 2021
Blog. You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable.
erwin
MAY 14, 2021
Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.
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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.
Jen Stirrup
MAY 8, 2021
Data and data handling are becoming a visible part of corporate and everyday life, receiving more Board airtime and public attention than ever before and increasing pressure on businesses to take data protection seriously. For example, a two-year-long ICO investigation showed significant data protection failures resulted in an enforcement action being issued against Experian.
Analytics Vidhya
MAY 14, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Hello Readers!! Data visualization is a process to represent. The post Data Visualizations In Julia Using Plots.jl: With Practical Implementation appeared first on Analytics Vidhya.
Cloudera
MAY 13, 2021
Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. WM saves time and reduces risks during upgrades or migrations.
Teradata
MAY 11, 2021
After the shock of COVID exposed the brittle nature of many global supply chains, focus has shifted to resilience, a necessary consideration but not the only one.
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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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