Come For The Insight, Stay For The Impact
Srividya Sridharan
SEPTEMBER 10, 2020
Get an overview of the tracks and sessions at the upcoming Forrester Data Strategy & Insights live virtual event.
Srividya Sridharan
SEPTEMBER 10, 2020
Get an overview of the tracks and sessions at the upcoming Forrester Data Strategy & Insights live virtual event.
DataCamp
SEPTEMBER 8, 2020
Here’s a comprehensive guide on how to go from a SQL beginner to a seasoned pro.
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Analytics Vidhya
SEPTEMBER 9, 2020
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.
O'Reilly on Data
SEPTEMBER 8, 2020
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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
MLWhiz
SEPTEMBER 7, 2020
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.
erwin
SEPTEMBER 10, 2020
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
SEPTEMBER 9, 2020
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.
Cloudera
SEPTEMBER 10, 2020
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.
Domino Data Lab
SEPTEMBER 10, 2020
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
Analytics Vidhya
SEPTEMBER 6, 2020
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.
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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?
Smart Data Collective
SEPTEMBER 8, 2020
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.
Dataiku
SEPTEMBER 10, 2020
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
Jet Global
SEPTEMBER 8, 2020
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.
Analytics Vidhya
SEPTEMBER 11, 2020
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.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Smart Data Collective
SEPTEMBER 6, 2020
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.
FineReport
SEPTEMBER 8, 2020
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.
Dataiku
SEPTEMBER 8, 2020
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.
Analytics Vidhya
SEPTEMBER 5, 2020
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Smart Data Collective
SEPTEMBER 11, 2020
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.
Cloudera
SEPTEMBER 10, 2020
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
Teradata
SEPTEMBER 8, 2020
The fragility of your supply chain existed long before COVID-19 brought it into sharp relief. Discover the secret to true supply chain resilience.
Analytics Vidhya
SEPTEMBER 7, 2020
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.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Smart Data Collective
SEPTEMBER 6, 2020
Big data tools are incredibly important for the survival of modern businesses. The best companies tend to invest in the highest quality big data technology to gain a competitive advantage in their market. However, the quality of the data-driven tools that they utilize plays a huge part in establishing their competitive advantages. They need to do their due diligence and find ways to make the most of the big data technology at their disposal.
Cloudera
SEPTEMBER 11, 2020
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
Teradata
SEPTEMBER 7, 2020
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.
Analytics Vidhya
SEPTEMBER 9, 2020
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Smart Data Collective
SEPTEMBER 9, 2020
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.
Dataiku
SEPTEMBER 9, 2020
If there’s one thing we’ve learned in the wake of the health crisis of 2020, it’s that an organization’s ability to quickly pivot operations to keep up with the changing world dictates success. At Dataiku, our agility was put to the test when we came to the decision that, in order to ensure safety for all, we had to transition our annual in-person EGG conference series to a multi-layered virtual experience for 2020.
Andrew White
SEPTEMBER 9, 2020
Click here for an interactive PDF to connect to the notes directly. Carlie Idoine scored her second “number 1” hit of the year. The note, Build a Comprehensive Ecosystem for Citizen Data Science to Drive Analytics , was originally published last year but the content is proving interesting for those clients interested in citizen data science.
Analytics Vidhya
SEPTEMBER 10, 2020
What’s your Favorite Data Science-Based TV-Shows? Picture this – a humanoid approaches you in a dimly-lit street with the stars blinking above. It’s a. The post 10 Adventurous Data Science-Based TV Shows You Should Watch Next appeared first on Analytics Vidhya.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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