DataKitchen
OCTOBER 22, 2021
The post Tech workers warned they were going to quit. Now, the problem is spiralling out of control first appeared on DataKitchen.
CIO Business Intelligence
SEPTEMBER 16, 2021
As a leading business intelligence tool, Power BI offers business users power and flexibility in dealing with data. The Microsoft tool provides everything from Excel integration to enterprise reporting and an increasing number of AI features that simplify getting deeper insights. In fact, the latest Forrester Wave report on augmented BI goes as far as to say “it is hard not to consider Power BI as your top choice for an enterprise BI platform.
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DataKitchen
OCTOBER 18, 2021
The post 5 hot new IT jobs — and why they just might stick first appeared on DataKitchen.
DataKitchen
JANUARY 4, 2021
The post Data-driven 2021: Predictions for a new year in data, analytics and AI first appeared on DataKitchen.
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Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.
datapine
DECEMBER 28, 2021
Table of Contents. 1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? Statistical analyses have historically been a stalwart of the high-tech and advanced business industries, and today they are more important than ever.
Analytics Vidhya
DECEMBER 2, 2021
This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
DECEMBER 23, 2021
Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.
Jen Stirrup
DECEMBER 14, 2021
TL; DR Yes. Let me tell you about the second-worst conference experience I’ve ever had as a speaker. The worst experience happened a few years ago and it is at the foot of the post so you will have to read down – note, it does have a trigger warning. Speakers from diverse backgrounds want equality not preferential treatment. Let me explain a scenario and let me make it clear that I’m not asking for preferential treatment.
DataRobot
DECEMBER 1, 2021
Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.
Dataiku
OCTOBER 13, 2021
Let’s be frank — creating a lasting data culture in your company isn’t going to happen overnight. No technology you install or datasets you gather will do that for you. You need time and, as we’ve seen across pop culture, it usually takes a new idea or innovation (or an old idea packaged as new) to change culture. This change usually falls on data leaders to drive because they have a unique perspective across data, technology, and the organization.
Advertiser: ZoomInfo
One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.
Domino Data Lab
AUGUST 6, 2021
In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. As such, model governance needs to be applied to each model for as long as it’s being used.
TDAN
JULY 21, 2021
In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].
Paul Turley
JULY 19, 2021
It occurred to me that we have put so much effort into promoting best practices and proper design that there is far less information about how to create bad reports and data models. In that light, the purpose of this article is to talk about what to do if you want things to go poorly and make sure your projects fail - if not immediately, then sometime in the future - and if not for you then for whoever inherits the work that you have done.
Cloudera
JUNE 1, 2021
Today marks the beginning of an exciting new chapter for Cloudera. Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses
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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.
DataCamp
MARCH 30, 2021
Unlocking the value of data in an organization starts with having the right data infrastructure and tooling foundations. Here’s a look at the current state and future trends of data infrastructure.
Analytics Vidhya
DECEMBER 3, 2021
This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 9, 2021
Programs like AlphaZero and GPT-3 are massive accomplishments: they represent years of sustained work solving a difficult problem. But these problems are squarely within the domain of traditional AI. Playing Chess and Go or building ever-better language models have been AI projects for decades. The following projects have a different flavor: In February, PLOS Genetics published an article by researchers who are using GANs (Generative Adversarial Networks) to create artificial human genomes.
KDnuggets
DECEMBER 8, 2021
How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?
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A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.
Smart Data Collective
NOVEMBER 21, 2021
If you have not lived under a rock for several years, you have undoubtedly heard about artificial intelligence (AI). However, how might artificial intelligence be used in e-commerce operations? Artificial intelligence (AI) is starting to fill every facet of our daily lives. For example, self-checkout cash registers, airport security checks, and other automated processes all use artificial intelligence to some degree.
DataRobot
OCTOBER 18, 2021
I have a confession to make—I’m a back-seat driver! When sitting in a taxi, I can’t help but grumble when the ride isn’t smooth, or the driver chooses the slowest lane of traffic. I have to fight the urge to take control. When it comes to shopping, I passively accept what is offered for sale. But my wife, who grew up in Asia where haggling is part of the culture, is different.
Sisense
FEBRUARY 9, 2021
Blog. Imagine a future where a wide range of surgeries, no matter how complex, could be conducted remotely, a future where a patient in dire need of help could access the most highly regarded specialists in any area of medicine regardless of where on the globe that person may be. In 2019, Dr. Ryan Madder from Spectrum Health performed a series of simulated remote percutaneous coronary interventions (PCIs) via a control station outside of Boston.
Domino Data Lab
JULY 15, 2021
In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. As new team members with varying backgrounds are added, as new sources of data are made available from different platforms, or new deliverables are required from stakeholders, allegiance to a
Speaker: Data Robot
Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.
TDAN
AUGUST 3, 2021
Increasingly, external data (alternative data, public data, open data – call it what you want) is being called the “secret sauce” of driving advanced analytics, developing machine learning and AI capabilities, enriching existing models, and delivering unrealized insights to every part of your organization. The difficulty in connecting to this data is top of mind for […].
Paul Turley
MARCH 30, 2021
Navigation between reports is the hallmark of an interactive reporting solution, enabling the ability to drill-through and see relevant details and contextual filtered information in a target report.
Andrew White
JANUARY 12, 2021
Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future : By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed. By 2024, widespread adoption of cloud will raise the CFO’s influence over the chief data officer’s (CDO) decisions due to explicit linkage of workloads to cost , bringing disruption to the CDO role.
Juice Analytics
JULY 21, 2021
Tidying up your data is part science, part art, and all work. If you’re lucky, you’ll get your hands on some perfectly formatting data ( Slack does a nice job, for example). But more often than not, you’ll need to do some data cleaning before it is ready for analysis. Survey data is a particularly common clean-up challenge, but even pulling data from Google Analytics will require some clean-up.
Speaker: Erika R. Bales, Esq.
When we talk about “compliance and security," most companies want to ensure that steps are being taken to protect what they value most – people, data, real or personal property, intellectual property, digital assets, or any other number of other things - and it’s more important than ever that safeguards are in place. Let’s step back and focus on the idea that no matter how complicated the compliance and security regime, it should be able to be distilled down to a checklist.
Analytics Vidhya
DECEMBER 3, 2021
This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.
O'Reilly on Data
JANUARY 25, 2021
In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. But what are “trends”? All too often, trends degenerate into horse races over languages and platforms. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings.
KDnuggets
NOVEMBER 29, 2021
The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.
Smart Data Collective
JULY 21, 2021
On the surface, digital transformation is a simple process. You take a business activity that is old and ineffective/inefficient and re-energize it with new technology. This could be moving your spreadsheets to cloud software or even going so far as to move up from paper to digital. There is nothing inherently wrong with this process, but the way digital transformation is deployed often misses powerful opportunities ripe for the taking.
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Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. The problem is, there are few options available that minimize the risk to the business during the migration process and that’s one of the reasons why many organizations are still using Hadoop today. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.
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