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.

Technology 145

Technology IT 145

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Table of Contents — What is Automated Machine Learning? — Machine Learning Pipeline — Why Automation in Machine Learning — Autopilot — Six steps- Raw data to deployment — Parameters for Autopilot — Automated Machine Learning with Comprehend — Benefits & Working of Comprehend […].

Machine Learning 352

Machine Learning Data Science Publishing Analytics 352

Smart Data Collective

OCTOBER 13, 2021

We mentioned previously that bias is a big problem in machine learning that has to be mitigated. People need to take important steps to help mitigate it for the future. Regardless of how culturally, socially, or environmentally aware people consider themselves to be, bias is an inherent trait that everyone has. We are naturally attracted to facts that confirm our own beliefs.

Modeling 132

Modeling Testing Machine Learning Data Science 132

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Pre-requisites Knowledge of OpenCV is a must. Basic understanding of detection algorithm. Overview of Threat Detection Model We know that security is always a main concern in every area because of the rise in crime rates in crowded areas or in suspicious isolated areas. […]. The post How to create a Threat Detection Model using YOLOv3 appeared first on Analytics Vidhya.

Modeling 343

Modeling Data Science Publishing Analytics 343

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.

Management

Smart Data Collective

OCTOBER 13, 2021

FinTech is about connecting with customers. They expect something different from classically understood banking. The more you know about your audience, the more you can offer them. It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? Figuring out the best pricing model can be tricky.

Machine Learning 124

Machine Learning Optimization Software Modeling 124

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction to Stock Market Prediction Stock market prediction and analysis are some of the most difficult jobs to complete. There are numerous causes for this, including market volatility and a variety of other dependent and independent variables that influence the value of a certain […].

Machine Learning 331

Machine Learning Marketing Data Science Publishing 331

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Docker! Docker! Docker! We heard it so many times. What is it? Why is it used? Is it required? YES!! YES!! Docker is evolved into a vast area. Today we will explore pretty much everything about docker (I meant basics). What is DOCKER? […]. The post End-to-End Guide to Docker for aspiring Data Engineers appeared first on Analytics Vidhya.

Data Science 301

Data Science Publishing Analytics IT 301

Smart Data Collective

OCTOBER 13, 2021

There’s no denying that data is everywhere in life. The rate at which information is being collected is growing exponentially, with approximately 2.5 quintillion bytes (that’s 2,5000, 000, 000, 000, 000, 000!) of data being produced every day. As technology continues to advance data generation across the world, it’s safe to say that investing in data solutions will be crucial to seeing business growth and success in 2022 and beyond.

Internet of Things 120

Internet of Things Advertising IoT ROI 120

Jedox

OCTOBER 13, 2021

“What got you here won’t get you there” is a popular saying and CFOs around the world have long since realized this. However, creating the actual change needed to “get us there” is not taking place at the speed required. The WHY is understood but the WHAT and the HOW is where the going gets tough. In a recent post “Behold the Emergence of CFO 4.0” , we explored the emergence of CFO 4.0 and outlined five key changes for CFOs and their finance teams to make to get into the future.

Finance 76

Finance Risk Reporting IT 76

Smart Data Collective

OCTOBER 13, 2021

Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. Screenwriters are no exception. We mentioned in the past that big data has been very valuable for Hollywood. Professionals throughout the industry are looking for ways to integrate big data into their jobs.

Data-driven 104

Data-driven Big Data Recreation/Entertainment Software 104

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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?

Analytics

Cloudera

OCTOBER 13, 2021

Quite often, the digital natives of the family — you — have to explain to the analog fans of the family what PDFs are, how to use a hashtag, a phone camera, or a remote. Imagine if you had to explain what machine learning is and how to use it. There’s no need to panic. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics.

Machine Learning 74

Machine Learning Internet of Things IoT Modeling 74

Teradata

OCTOBER 13, 2021

Telcos, their customers, & a range of enterprises are entering a period of experimentation with 5G. The opportunities for innovation & growth are immense – but the costs & risks are outsized too.

Experimentation 52

Experimentation Risk Enterprise 52

Nutanix

OCTOBER 13, 2021

Simplicity. Modernizing your company’s cloud is easier than you think.

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Smart Data Collective

OCTOBER 13, 2021

In the wake of the COVID pandemic, cybercrime is skyrocketing to unprecedented levels and daily ransomware attacks increased by 50% in 2020. The cause of this rise is largely due to the massive increase in American employees working from home. Where employees used to be under the umbrella of their organization’s security networks and using their business’ secured devices, today the majority of employees are remote.

Insurance 121

Insurance Cost-Benefit Measurement Management 121

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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.

Visualization

Cloudera

OCTOBER 13, 2021

According to Domo, on average, every human created at least 1.7 MB of data per second in 2020. That’s a lot of data. For enterprises the net result is an intricate data management challenge that’s not about to get any less complex anytime soon. Enterprises need to find a way of getting insights from this vast treasure trove of data into the hands of the people that need it.

ROI 92

ROI Optimization Data Warehouse Data-driven 92

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135