Analytics Vidhya
DECEMBER 29, 2019
Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.
TDAN
DECEMBER 31, 2019
The Nonverbal Dilemma Nonverbal communication is composed of body gestures and vocal inflections. The words you speak are a small fraction of communication. In a 1971 book titled, “Silent Messages,” by Albert Mehrabian, the combination of non-verbal and spoken words is referred to as the 7%-38%-55% rule (source). Think of it this way. When you […].
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Corinium
JANUARY 2, 2020
AI looks set to become an integral part of modern business. Our latest benchmarking survey of more than 600 global data and analytics leaders shows that 80% have already deployed machine learning (ML) algorithms within their organizations.
KDnuggets
JANUARY 2, 2020
Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Analytics Vidhya
JANUARY 1, 2020
Introduction I love the sci-fi movie genre. Futuristic scenarios, jaw-dropping visuals, a tight storyline knitting it all together – that’s a recipe for a. The post 10 Under-the-Radar Movies that Show the Power of Machine Learning appeared first on Analytics Vidhya.
Sisense
JANUARY 1, 2020
Blog. Data and analytics are all about finding patterns, figuring out what’s next, and creating a better world. In Build the Future of Data , we give you insights into the tools and trends that will define the next era of business. Start strong with the right knowledge. Few worlds have a pace of innovation quite like data and analytics. We’ve collected the biggest posts of 2019 to give you a look at where the industry has been and where it’s going to give you the can’t-miss perspectives an
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
DECEMBER 31, 2019
With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult. While machine learning offers significant power in driving digital transformations, a business must start with the right questions and leave the math to the development teams.
Data Science 101
DECEMBER 30, 2019
A bit of a slow news week in the tech world, but that is expected. The full news with all the links is available at Cloud Data Science News – Beta 8. Happy New Year!
Sisense
DECEMBER 30, 2019
Blog. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Better dashboards, better decisions. A well-constructed and organized dashboard empowers users to make better data-driven decisions. But how can you recognize readability issues in your dashboards while you build them to avoid wasting time and endlessly redoing your work?
TDAN
DECEMBER 31, 2019
Organizations that have implemented Data Governance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize. Data Management requires that the organization care for data as an asset. Managing data as an asset sounds pretty complicated.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
KDnuggets
JANUARY 3, 2020
Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.
Data Science 101
JANUARY 3, 2020
Happy New Year. 2020 is here. A new decade! Unfortunately, it did not bring a flurry of data science announcements. I did create my list of 3 predictions for 2020, so those will be coming out soon. News. No significant news to report. Hopefully some releases and announcements will be coming next week. Videos. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego.
Juice Analytics
DECEMBER 30, 2019
Here at Juice, we are beyond thankful and grateful to have friends who help us advance our mission to fix everyone’s data drama. Whether they are current customers, data & analytics professionals that we admire and who admire our company, or those that help connect us further with prospective customers; we are so glad to have friends of Juice! Meet this week’s Friend of Juice, Dave McDowell!
Jen Stirrup
JANUARY 2, 2020
I conducted a workshop in Florida recently, aimed at helping people to move from Business Intelligence to Analytics. I thought I’d post the slides here. If you have any questions, please get in touch with me here. I have added some guidelines for using Power BI with marketing and sales data. These are general principles, and I hope it’s useful to people who produce business intelligence dashboards in these areas.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
KDnuggets
JANUARY 2, 2020
In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.
TDAN
DECEMBER 31, 2019
Cyber-attacks are a huge problem for today’s businesses. If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 million. That means that any breach could bankrupt your business. […].
Andrew White
JANUARY 3, 2020
Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Ehtisham Zaidi scores his third “number 1” hit of 2019 with a new note targeting the data fabric. This will give you some inkling into new content for the data management thread at our upcoming data and analytics conference season (around the world).
Jet Global
DECEMBER 31, 2019
Jonathan Reichental, Ph.D., is the Founder and CEO of Human Future, a global business and technology education, advisory, and investment firm. He is also an author, speaker, and thought leader helping to shape the conversation around digital transformation and 21st-century excellence. We spoke with Reichental about the disruptive forces in today’s economy, the imperative to change, and the crucial role of technology.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
DECEMBER 30, 2019
For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.
Octopai
DECEMBER 30, 2019
As 2019 ends, business intelligence specialists around the world are working to gather as much data as possible from the past year to prepare end-of-year reports. There are a lot of different goals for compiling and analyzing this data, from making staffing decisions, to developing new products and designing better budgets, but making sure your data is trustworthy is of paramount importance.
Andrew White
JANUARY 3, 2020
What are the assumptions you use to base your plans for 2020? It probably makes sense to be clear what assumptions underpin your plans for the coming year. After all, you need some foundations in place in order to take decision or create the framework on which others will take decisions. Here are a couple of assumptions that might impact information and technology investment decisions.
Alation
JANUARY 2, 2020
Large enterprises invest heavily in modern data and analytic environments. That can be seen in growing revenues for big data and analytics — estimated to be $260 billion in the US by 2020, according to IDC. But while the cost and effort it takes to implement and maintain data environments can be pretty easily measured […]. The post Measuring the Value of Your Analytic Investments with the Alation Data Catalog appeared first on Alation.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
KDnuggets
JANUARY 3, 2020
This post presents a pipeline of building a KNN model in R with various measurement metrics.
BizAcuity
JANUARY 2, 2020
To find all players [link] born within a certain month and year, for example all players born in December of 1985, choose the month Cheap Jerseys Free Shipping and year with the drop down boxes and then choose the ‘Month and Year Search’ option. OFF THE FIELD Attended the 2018 NFL Draft in Dallas and visited the Vikings fan section spending time chatting and taking photos with fans in attendance…Joined teammates for the Adoption Family FunFest at Winter Park during 2013 season,
Jet Global
JANUARY 2, 2020
Business intelligence (BI) tools are part of the furniture in many organisations, especially when it comes to sharing and visualising data. While BI tools serve many lines of business well and have their obvious merits, they often don’t hit the mark in finance. Finance teams’ reporting needs are too specialised for modern BI tools, so finance needs something different.
TDAN
DECEMBER 31, 2019
A successful e-commerce business doesn’t start at the storefront; it starts at the backend where all orders are processed. Even if you have the best loyalty programs, personalized shopping experiences, and advanced customer relationship management techniques, it won’t make sense if you don’t deliver orders on time. That’s the major reason why operations management plays […].
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
KDnuggets
JANUARY 2, 2020
Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.
BizAcuity
JANUARY 2, 2020
It’s the people in this city and in this building. At a cheap nfl jerseys time when America was just discovering the NFL, NFL Jerseys Outlet Gifford was the game’s Don Draper. But it’s rare NFL Jerseys Paypal to have a president who relishes, embraces, and extols deviant behavior. A successful running game certainly would provide a boost for the offense.
Ontotext
DECEMBER 30, 2019
As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledge graphs easier and richer. We also released Ontotext Platform 3.0 for enterprise knowledge graphs , featuring GraphQL interfaces to help application developers access big knowledge graphs more efficiently.
TDAN
DECEMBER 31, 2019
LIDAR is a remote detecting innovation that utilizes the beat from a laser to gather data that measures and makes 3D models and maps of inaccessible articles and conditions. A LIDAR framework works in a way that is similar to radar and sonar yet rather than sound or radio waves, it utilizes light waves from […].
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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