Sat.Sep 05, 2020 - Fri.Sep 11, 2020

article thumbnail

Come For The Insight, Stay For The Impact

Srividya Sridharan

Get an overview of the tracks and sessions at the upcoming Forrester Data Strategy & Insights live virtual event.

article thumbnail

How to Learn SQL

DataCamp

Here’s a comprehensive guide on how to go from a SQL beginner to a seasoned pro.

134
134
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Busted! 11 Data Science Myths You Should Avoid at All Costs

Analytics Vidhya

In this article, we bust 11 common myths people have about data science. We have divided the myths into career, tools and role related categories. The post Busted! 11 Data Science Myths You Should Avoid at All Costs appeared first on Analytics Vidhya.

article thumbnail

Pair Programming with AI

O'Reilly on Data

In a conversation with Kevlin Henney, we started talking about the kinds of user interfaces that might work for AI-assisted programming. This is a significant problem: neither of us were aware of any significant work on user interfaces that support collaboration. Most AI systems we’ve seen envision AI as an oracle: you give it the input, it pops out the answer.

article thumbnail

State of AI in Sales & Marketing 2025

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.

article thumbnail

The Most Complete Guide to PyTorch for Data Scientists

MLWhiz

PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface. Yet, it is somehow a little difficult for beginners to get a hold of. I remember picking PyTorch up only after some extensive experimentation a couple of years back. To tell you the truth, it took me a lot of time to pick it up but am I glad that I moved from Keras to PyTorch.

article thumbnail

5 Ways AI Technology Is Changing The Future Of Human Society

Smart Data Collective

From intelligent machines and automated cars to genetic modification and 3D printing, there’s a significant technological power shift everywhere at a rapid pace. Remarkable waves of technological solutions like Artificial Intelligence are driving the 4th industrial revolution that is redefining the norms between people, the web and the real world.

More Trending

article thumbnail

Why You Need End-to-End Data Lineage

erwin

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time.

article thumbnail

The Cause and Effect of Supply Chain Fragility, and How to Fix It

Teradata

The fragility of your supply chain existed long before COVID-19 brought it into sharp relief. Discover the secret to true supply chain resilience.

IT 105
article thumbnail

6 Ingenious Data-Driven Marketing Ideas for CBD Brands

Smart Data Collective

We recently talked about the incredible benefits of using AI in the CBD industry. We thought it might be good to delve into the topic in greater detail. You can see how big data and AI are being utilized by the most astute CBD marketers. When you evaluate the many different businesses and industries in the world today, some are flourishing more than others.

article thumbnail

Starting your First Data Science Project? Here are 10 Things You Must Absolutely Know

Analytics Vidhya

Introduction Can you imagine navigating through a city without Google Maps? It feels like an alien concept! We have no sense of direction and. The post Starting your First Data Science Project? Here are 10 Things You Must Absolutely Know appeared first on Analytics Vidhya.

article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

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

article thumbnail

Data Champions: Balancing IT and Business Needs

Cloudera

Digital transformation has been on the agenda for a long time, but the sudden need to respond to the unprecedented challenges of 2020, has meant the buzzword has become an executable reality for many enterprises. I recently came across a KPMG report that revealed that 80% of executives are increasing investments on emerging technologies now, to drive higher realized value in the future.

IT 104
article thumbnail

Why models fail to deliver value and what you can do about it.

Domino Data Lab

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant. Yet despite all this hard work, few models ever make it into production (VentureBeat AI concluded that just 13% of data science projects make it into production) and in terms of delivering value to the business, Gartner predicts that only 20% of

Modeling 101
article thumbnail

How Data Analytics Is Revolutionizing The Future Of eCommerce In 2020

Smart Data Collective

Data analytics is revolutionizing the future of ecommerce. A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions. How much of a role will big data play in ecommerce? Experts forecast that ecommerce providers will spend $6.2 billion on big data by 2025. This is a 150% increase over a seven-year period.

B2B 135
article thumbnail

How to Integrate Machine Learning into Web Applications with Flask

Analytics Vidhya

We all have come across various web applications that use machine learning. For example, Netflix and YouTube use ML to personalize your experience by. The post How to Integrate Machine Learning into Web Applications with Flask appeared first on Analytics Vidhya.

article thumbnail

Zero Trust Mandate: The Realities, Requirements and Roadmap

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.

article thumbnail

The Forrester Wave Pegs Dataiku a Leader

Dataiku

Though we haven't been immune to the events of 2020, here at Dataiku, we're very fortunate to have an agile team that has been able to adapt to new circumstances as well as a product whose value has proven integral to organizations’ own recovery from this crisis. That's why we're proud to announce that hot on the heels of our $100 million Series D investment round as well as the release of Dataiku 8 , this week, Dataiku has been named a Leader in the The Forrester Wave™: Multimodal Predictive An

article thumbnail

Responding to Changing Tax Regimes Amid COVID-19 Fallout

Jet Global

The COVID-19 pandemic has underscored the need for tax teams to be more proactive in their activities, as well as more strategic in their analysis and the guidance they provide to their organizations. Governments around the world are actively shifting and updating tax-related policies and regulations to address various ongoing challenges stemming from the pandemic.

article thumbnail

Data Analytics Play Huge Role In Optimizing Organization Management

Smart Data Collective

The number of companies utilizing data analytics has skyrocketed in recent years. In 2017, 53% of companies reported using data analytics as part of their strategy. This marks a 200% increase over a two-year period. This trend is hardly surprising. Data analytics is one of the most useful tools your business can utilize in order to quantify real-world information about its performance and efficiency.

article thumbnail

How to Master the Popular DBSCAN Clustering Algorithm for Machine Learning

Analytics Vidhya

Overview DBSCAN clustering is an underrated yet super useful clustering algorithm for unsupervised learning problems Learn how DBSCAN clustering works, why you should learn. The post How to Master the Popular DBSCAN Clustering Algorithm for Machine Learning appeared first on Analytics Vidhya.

article thumbnail

Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

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.

article thumbnail

8 Best Reporting Apps For Better Decision Making

FineReport

What are Reporting Apps? Reporting apps are also called reporting applications, which play vital importance in business. The app allows teams to gather information, generate reports, and gain insights in the form of tables and charts. What are the Types of Reporting Applications? There are many types of reporting apps, which focus on different areas.

article thumbnail

Building Your Own Signal Detection Rules: A Data-Centric Approach to Cybersecurity (Part I)

Dataiku

As data becomes more available but also grows in size and is continuously more dense and unstructured — specifically in a context where more than just network logs are required to perform accurate anomaly detection and threat intelligence — the cybersecurity industry is aiming to introduce more automation into the process to provide security experts with actionable information for identifying patterns, threats, attackers, and more.

96
article thumbnail

5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Artificial intelligence is changing the Internet in ways we never expected. Savvy technology evangelists recognize the importance of AI in the 21 st Century, especially as Internet technology continues to evolve. AI is especially important in shaping the future of networking. An article in CISCOMAG talks about the benefits of using AI in improving network security.

article thumbnail

Why GPUs are more suited for Deep Learning?

Analytics Vidhya

Since the past decade, we have seen GPU coming into the picture more frequently in fields like HPC(High-Performance Computing) and the most popular field. The post Why GPUs are more suited for Deep Learning? appeared first on Analytics Vidhya.

article thumbnail

The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

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!

article thumbnail

Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020

Cloudera

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossibl

article thumbnail

Why Data Culture Is a Key Component of Data Strategy

DataCamp

Having a strong data culture is about equipping everyone with the skills they need to leverage data to perform their job well.

article thumbnail

Can Data And Analytics Solve Cold Chain Problems?

Smart Data Collective

The rise of big data adoption by enterprises has seen analytics be applied to various areas of business. Supply chains, for instance, have greatly benefited from these efforts. Companies have been able to log data on product movement and, by analyzing these, they are able to streamline many of their logistics processes. For example, retail giant Walmart uses data gathered from its fleet’s activities to optimize supply chain routes , allowing the company to move products more efficiently and keep

Analytics 111
article thumbnail

Start Using The timeit Library in Python!

Analytics Vidhya

Introduction The purpose of this article is to introduce us to the timeit library. Suppose you want to measure the execution time of a. The post Start Using The timeit Library in Python! appeared first on Analytics Vidhya.

article thumbnail

Optimizing The Modern Developer Experience with Coder

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.

article thumbnail

Covid-19 Accelerates The Need for Retail, Manufacturing Supply Chains To Adapt

Cloudera

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . To find out more about how COVID-19 has impacted the manufacturing and retail industries Vijay Raja, Director of Industry & Solutions Marketing at Cloudera sat down for a round-table discussion with Michael Ger , Managing Director of Manufactu

article thumbnail

How Teradata Vantage with Native Object Store Decreases Costs, Increases Business Value

Teradata

The latest release of Teradata Vantage with Native Object Store enables companies to not only drive down costs by leveraging object store technologies, but also improve manageability and drive business insights with the power of Vantage.

article thumbnail

Crazy Ways Phone Analytics Are Changing The Future of Marketing

Smart Data Collective

The market for big data is projected to be worth over $229 billion by 2025, according to research from Markets and Markets. The analysis suggests that the rapid growth in utilization of big data by SMEs is driving momentum in the big data market. A large portion of this growth can further be attributed to the growing use of big data for marketing. We have previously talked extensively about big data in digital marketing.

Marketing 108
article thumbnail

How to Treat Overfitting in Convolutional Neural Networks

Analytics Vidhya

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

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?