KDnuggets
SEPTEMBER 20, 2019
With recent advances in AI being enabled through access to so much “Big Data” and cheap computing power, there is incredible momentum in the field. Can big data really deliver on all this hype, and what can go wrong?
Corinium
SEPTEMBER 18, 2019
Instant noodles and the on-demand life. It’s no secret that, despite the huge movement toward sustainable living, we just can’t live without some things being instant. One such crutch for students worldwide and most of Asia’s young adult population (also the entire American prison system) are the ubiquitous instant noodles. 100 billion servings are eaten every year.
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Analytics Vidhya
SEPTEMBER 18, 2019
Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 15, 2019
Big data is changing the financial industry in a truly astounding way. Countless financial professionals are looking towards machine learning and other new tools to improve the quality of the services that they offer to their customers. K. Hussain of Atos Spain published a white paper on the growing relevance of big data in the finance and insurance verticals.
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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.
KDnuggets
SEPTEMBER 17, 2019
We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.
Corinium
SEPTEMBER 16, 2019
Enterprises across the globe are waking up to the fact that data is an asset that requires its own strategy. Those that treat it as such are now seeing substantial returns on their investments.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
erwin
SEPTEMBER 19, 2019
Data governance isn’t a one-off project with a defined endpoint. It’s an on-going initiative that requires active engagement from executives and business leaders. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security.
KDnuggets
SEPTEMBER 17, 2019
Lately, varying improvements over BERT have been shown — and here I will contrast the main similarities and differences so you can choose which one to use in your research or application.
Analytics Vidhya
SEPTEMBER 15, 2019
Overview New to working with image data? The skimage module in Python is an ideal starting point Learn 8 simple yet powerful tricks for. The post 9 Powerful Tips and Tricks for Working with Image Data using skimage in Python appeared first on Analytics Vidhya.
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
Smart Data Collective
SEPTEMBER 19, 2019
Machine learning has played a very important role in the development of technology that has a large impact on our everyday lives. However, machine learning is also influencing the direction of technology that is not as commonplace. Text to speech technology is a prime example. Text to speech technology predates machine learning by over a century. However, machine learning has made the technology more reliable than ever.
KDnuggets
SEPTEMBER 17, 2019
The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.
DataCamp
SEPTEMBER 18, 2019
Learn why data fluency is important to achieve better business results and what it takes to get there.
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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.
Smart Data Collective
SEPTEMBER 15, 2019
Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever. Darren Heitner wrote a great article on Inc. About the way that big data is revolutionizing the industry.
KDnuggets
SEPTEMBER 16, 2019
The career path of the Data Scientist remains a hot target for many with its continuing high demand. Becoming one requires developing a broad set of skills including statistics, programming, and even business acumen. Learn more about one person's experience making this journey, and discover the many resources available to help you find your way into a world of data science.
Domino Data Lab
SEPTEMBER 18, 2019
This post covers data exploration using machine learning and interactive plotting. If interested in running the examples, there is a complementary Domino project available. Introduction. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Visualization tools help make the shape of the data more obvious, surface patterns that can easily hide in hundreds of rows of data, and can even assist
DataRobot
SEPTEMBER 18, 2019
The truth is that the work of data scientists cannot generate value if the models never make it to production. For data scientists writing custom models in languages like Python and R, the number of challenges for getting models into production can be overwhelming. Issues range from how to deploy model code on production systems, how to monitor performance, and how to deploy updates to models over time.
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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
SEPTEMBER 18, 2019
I recently read a great post from The Verge on the impact of AI on the video gaming industry. Author Nick Statt made a great point about the evolution of AI in the industry. Pratt pointed out that AI has been a factor in the video game industry since the very beginning. Some of the AI tools that we see today resemble those in the 1980 game Rogue. Of course, AI has improved dramatically over the last 40 years.
KDnuggets
SEPTEMBER 20, 2019
This comprehensive tutorial aims to introduce the fundamentals of PyTorch building blocks for training neural networks.
TDAN
SEPTEMBER 17, 2019
There is a movement to upend traditional thinking about information systems by putting data and meaning at the center of strategy, architecture, and system development sequencing. It is the most recent of a series of data-centric waves which, over several decades, have attempted to remedy the entrenched application-centric paradigm. Past waves have receded, largely because […].
IBM Big Data Hub
SEPTEMBER 19, 2019
Will AI take over the world? Or, more to the point, will it take over the humankind? It seems to have invaded the public consciousness, sparking concerns that AI will take away jobs. This fear is driven in part by companies using AI to deliver cost savings across their businesses, including areas related to labor.
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Smart Data Collective
SEPTEMBER 17, 2019
Machine learning is creating pivotal change in the energy industry. Towards Data Science wrote about the changes that machine learning is bringing to this field. They pointed out that Bill Gates wrote a letter in 2017 to graduate students across the country, which stated that machine learning is going to be the biggest disruptor in this industry. You need to consider the benefits of using an electrical system that relies on machine learning technology.
KDnuggets
SEPTEMBER 19, 2019
“I want to learn machine learning and artificial intelligence, where do I start?” Here.
Timo Elliott
SEPTEMBER 16, 2019
I hope you can join us for the Elevate conference in lovely Toronto! I’ll be doing a keynote as part of the Digital Transformation track on Monday October 23rd, talking about how the latest technologies are transforming the way the world works. For more details, take a look at my quick overview video — it’s literally an “elevator pitch” the Elevate event!
TDAN
SEPTEMBER 17, 2019
I am surprised to see a lot of people jumping straight into logical or even physical modeling and skipping conceptual modeling. Don’t they understand the value of conceptual modeling? Don’t they understand the difference between the various levels of modeling? Or do they have cognitive limitations? In this column, I will elaborate on the importance […].
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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.
Smart Data Collective
SEPTEMBER 17, 2019
AI barely played a role in the beginning of online search engines. The earliest search engines accepted payments from companies that wanted to be at the top of the listings. However, AI is becoming more important than ever. Google is using AI to assign SERPs more than ever. Savvy SEO strategists are also using AI too. AI is also important in local SEO, because businesses need to know how to automate essential functions and identify approaches that get the best results.
KDnuggets
SEPTEMBER 17, 2019
For some people anything below 60% is acceptable and for certain others, even a correlation of 30% to 40% is considered too high because it one variable may just end up exaggerating the performance of the model or completely messing up parameter estimates.
Jet Global
SEPTEMBER 17, 2019
Directions EMEA is the biggest autumn event for Microsoft Partners and this year’s show is set to be bigger than ever – with 2,200 attendees from Partners and ISV companies meeting in Vienna, Austria October 9th – 11th. A true “Who’s Who” of the Microsoft Partner channel will be at this event, and we are excited to be there again this year, now as insightsoftware and Jet Global together!
TDAN
SEPTEMBER 17, 2019
There have been a couple of different things converged in my media feeds that highlight a key issue that all data management professionals and leaders in information management need to be conscious of – Group Think. This manifests itself in at least two ways in the following examples I’ll use to illustrate my points. Each […].
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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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