Analytics Vidhya
JULY 31, 2019
Overview Managing the various stakeholders in a data science project is a must-have aspect for a leader Delivering an end-to-end data science project is. The post A Data Science Leader’s Guide to Managing Stakeholders appeared first on Analytics Vidhya.
Data Virtualization
JULY 31, 2019
Across all vertical markets, organizations adopt data virtualization as a core part of their IT infrastructure because data is becoming more distributed, more heterogeneous, and larger in volume.
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Smart Data Collective
JULY 30, 2019
In an earlier age, perhaps as little as a decade ago, businesses had to rely on intuition and educated guesses to guide their spending. The situation was famously captured by John Wanamaker, who said, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” Today, data is everywhere. Phones track our locations and our social media usage.
O'Reilly on Data
AUGUST 1, 2019
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business. In this episode of the Data Show , I speak with Cassie Kozyrkov , technical director and chief decision scientist at Google Cloud. She describes "decision intelligence" as an interdisciplinary field concerned with all aspects of decision-making, and which combines data science with the behavioral sciences.
Advertiser: ZoomInfo
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Analytics Vidhya
AUGUST 1, 2019
Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya.
Corinium
AUGUST 2, 2019
My key focus area is, and has always been, how the customer experience is founded upon the employee experience because I believe that focussing on your employees ultimately benefits your customers.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
AUGUST 2, 2019
Lessons learned from repeatedly smashing my head with a 2-meter long metal pole for a college engineering course.
Analytics Vidhya
JULY 29, 2019
Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used. The post Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python appeared first on Analytics Vidhya.
Corinium
JULY 31, 2019
What is the biggest challenge you face within your role today and how are you looking to tackle it? I think a challenge faced by many more traditional organisations (including our own) is how to put a financial value on Customer Experience. Traditionally business cases are built on the financial value that can be derived from an initiative with specific expectations around pay-back time frames.
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
KDnuggets
JULY 29, 2019
Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.
Analytics Vidhya
JULY 28, 2019
Overview Learn how to build your own text generator in Python using OpenAI’s GPT-2 framework GPT-2 is a state-of-the-art NLP framework – a truly. The post OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python appeared first on Analytics Vidhya.
Corinium
JULY 31, 2019
Tell us a bit about your background and how you ended up in your current role. I have always worked in software, but as technology moved on I spent more and more time in customer facing roles. I have been lucky to have experience of business operations across many countries and different styles of business which gives me a good understanding and perspective of what our customers are trying to achieve and the way in which we interact with them.
Smart Data Collective
JULY 30, 2019
Computer breaches from Russian or Chinese hackers get the headlines, but the reality is you are more likely to be a victim from an insider. It turns out that as much as 60 percent of all attacks were carried out by insiders – either overtly or inadvertently. The High Cost of Breaches. If it’s your business that falls victim, the cost can be high. Your company’s reputation can be damaged.
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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.
KDnuggets
AUGUST 2, 2019
This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.
MLWhiz
JULY 29, 2019
Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series. This post is about some of the most common sampling techniques one can use while working with data. Simple Random Sampling Say you want to select a subset of a population in which each member of the subset has an equal probability of being chosen.
Corinium
JULY 31, 2019
Tell us a bit about your background and how you ended up in your current role. I have over 15 years’ marketing experience within FMCG, Tourism and Financial Services. I’ve worked as a marketing generalist, but my real passion is for data-driven marketing; using data insights focusing on acquisition, nurture, loyalty building & churn reduction. Most of my career has been within the financial services industry.
Smart Data Collective
JULY 31, 2019
Link building is one of the best online marketing strategies in use today, thanks to its synergy with other marketing strategies and its incredibly high return on investment (ROI). Link building basics are easy to grasp, even if you’re completely new to the strategy, but if you want to succeed long-term, you’ll need something more: the ability to measure and analyze data related to your campaign.
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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.
KDnuggets
JULY 31, 2019
I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages, functions, etc that each of us use, but that others are completely unaware of, and would find useful if they knew about them.
Data Science 101
JULY 31, 2019
A new online conference focused on cloud data technologies is coming this fall. It is not just a conference or webinar, it will be an interactive online platform. The focus of the event is data in the cloud (migrating, storing and machine learning). You can pre-register for the conference now. Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization.
Boris Evelson
JULY 29, 2019
Forrester has just published 2019 refresh of out Enterprise Business Intelligence (BI) Platforms Waves ™. As the BI market and the technology continue to evolve, so does our research. This year we emphasized New market segmentation by Vendor-Managed vs. Client-Managed platforms, which roughly equated to on-premise vs. cloud based platforms, but not quite.
Smart Data Collective
JULY 28, 2019
Big data is everywhere. Each time you swipe a grocery store card, make a purchase online or buy from a big-box store, your shopping habits are being stored somewhere. What many consumers don’t realize is that companies are using this information to take advantage of their major life changes , including divorce. While divorce rates are down compared to 20 years ago, nearly 50% of all marriages will still end in a divorce in the U.S.
Advertiser: ZoomInfo
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KDnuggets
JULY 30, 2019
The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.
DataRobot
JULY 29, 2019
Akira Shibata, Chief Data Scientist, Japan.
IBM Big Data Hub
AUGUST 2, 2019
The pressure is rising for business users, automation, and governed data lakes to drive business value. Learn how enterprise data preparation fits in.
Smart Data Collective
JULY 30, 2019
Big data is being used more frequently in healthcare facilities all over the world. One report shows that the global market for big data in healthcare is expected to reach $68.75 billion in 2025. However, this figure misses some important nuances, such as which areas of medicine are using big data the most. Some medical procedures have relied on it more than others, while others are just exploring its potential.
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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.
KDnuggets
JULY 29, 2019
At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.
Dataiku
AUGUST 1, 2019
Not sure what Hadoop actually is? A little fuzzy on what the difference is between cloud and on-prem storage? We’ve set out to demystify the jargon surrounding data architecture to enable every team to understand how it impacts their objectives.
CDW Research Hub
JULY 29, 2019
When planning for a cloud data warehouse such as Snowflake, it is important to have a strategic plan in place to initialize the environment for development, testing and production. Using standard patterns for this initialization is a best practice. Sirius is publishing a four-part series to demonstrate best practices in reusable patterns for initializing Snowflake environments.
Smart Data Collective
AUGUST 2, 2019
AI has become an important factor in the ecommerce industry. The benefits of AI in ecommerce include enhancing products, optimizing processes, identifying new markets and more. Now, a new benefit of AI is joining the list: avoiding the risk of website accessibility lawsuits. Website accessibility lawsuits against ecommerce companies are becoming common.
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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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