Analytics Vidhya

JUNE 15, 2022

Dear Readers, We bring you another episode of our DataHour series. Deep Learning is a subfield of Machine Learning, inspired by the biological neurons of a brain, and translated to artificial neural networks with representation learning. In this DataHour session, Umang will take you through a fun ride of live DEMO! We are sure that […]. The post The DataHour: Introduction to Tensorflow Javascript appeared first on Analytics Vidhya.

Deep Learning 316

Deep Learning Machine Learning Analytics 316

KDnuggets

JUNE 15, 2022

An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

Modeling 151

Modeling IT Data Science 151

Analytics Vidhya

JUNE 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Linear Regression In this article we will be learning about the Linear Regression using MLIB and everything will be hands-on i.e. we will be building an end to end Linear regression model which will predict the customer’s yearly spend on the company’s […].

Data Science 255

Data Science Publishing Modeling Analytics 255

CIO Business Intelligence

JUNE 15, 2022

Moving into the digital 2020s, enterprises are contemplating the adoption of a new generation of collaborative, composable, and cloud-based enterprise resource planning (ERP) technologies, motivated by a stubborn pandemic, insecure supply chains, transient workforces, and other factors. An overwhelming 94% of organizations worldwide are embracing a next-generation ERP strategy that involves migrating to cloud platforms and adopting high-end analytics such as artificial intelligence to overcome t

Key Performance Indicator 144

Key Performance Indicator Consulting KPI Sales 144

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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

Analytics Vidhya

JUNE 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction ETL is the process that extracts the data from various data sources, transforms the collected data, and loads that data into a common data repository. It helps organizations across the globe in planning marketing strategies and making critical business decisions. Azure Data Factory […].

Data Science 255

Data Science Publishing Strategy Marketing 255

KDnuggets

JUNE 15, 2022

Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

Data Science 115

Data Science 115

CIO Business Intelligence

JUNE 15, 2022

We may have made it through the global pandemic, but that doesn’t mean it’s business as usual for everyone. Many have lost loved ones or at the very least carry the mental scars of months of anxiety and isolation. It has become clear as COVID has worn on that we are never going to return to the old normal – not surprising as pandemics have historically led to societal shifts.

Management 105

Management IT 105

Analytics Vidhya

JUNE 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, HuggingFace announced a $100 million Series C funding round, which was big news in open source machine learning and could be a sign of where the industry is headed. Two days before the HuggingFace funding announcement, open-source machine […]. The post HuggingFace Training Model Rapidly Based on MetaSpore appeared first on Analytics Vidhya.

Modeling 232

Modeling Machine Learning Data Science Publishing 232

TDAN

JUNE 15, 2022

Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. The catastrophic disruption of the global pandemic did not slow down the need for systems, processes, and people who will help modern organizations move faster. Data, as always, is top of mind. With so many trends and tools available, it can be hard to see […].

Digital Transformation 98

Digital Transformation Data Quality IT Data Strategy 98

KDnuggets

JUNE 15, 2022

14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groups.

Machine Learning 101

Machine Learning Data mining Modeling Data Science 101

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.

Management

CIO Business Intelligence

JUNE 15, 2022

L’utilisation de l’intelligence artificielle (IA) explose partout sur la planète alors qu’elle devient un outil essentiel dans une myriade de secteurs et d’industries. Mais pour l’implanter avec succès dans les opérations commerciales, les responsables informatiques doivent s’entourer d’experts mondiaux tout en créant un écosystème de pointe. Au Canada, c’est au Québec qu’il faut chercher pareils experts car la province est la véritable locomotive de l’IA au pays : septième au monde – c’est le r

Finance 98

Finance Deep Learning Interactive Technology 98

TDAN

JUNE 15, 2022

“Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point. Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […].

Data mining 98

Data mining Forecasting Big Data Marketing 98

Smart Data Collective

JUNE 15, 2022

Consumers today want retailers they do dealings with, to provide them with simplified and personalized services. If you fail to meet their standards for an effective and focused product offering, most of them will quickly take their money elsewhere. One of the secrets to attracting and retaining customers is to become more data-centric. The retail industry is expanding all the time.

Advertising 95

Advertising Cost-Benefit ROI Sales 95

Cloudera

JUNE 15, 2022

Cloudera’s June Volunteer Spotlight is Michael Billau, customer operations engineer from Raleigh, North Carolina! Michael volunteers with the Food Bank of Central and Eastern North Carolina. The Food Bank of Central and Eastern North Carolina provides food daily to the over 200,000 people facing food insecurity and hunger in the Raleigh area, while simultaneously building solutions to end hunger permanently in communities across North Carolina. .

IT 79

IT 79

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.

Experimentation

Smart Data Collective

JUNE 15, 2022

Artificial intelligence has become a very important technological development in the life sciences. Michel L. Leite and his colleagues at Universidade Católica de Brasília addressed this phenomenon in their study Artificial intelligence and the future of life sciences. AI is helping advance the life sciences in many ways, which include improving the outcomes of clinical trials and making certain features more accessible to both researchers and patients.

Machine Learning 92

Machine Learning Technology Optimization IT 92

TDAN

JUNE 15, 2022

Choosing the right database for your business-related data could make or break how well you understand your customers and the larger business landscape. Qualities such as speed, scalability, how it responds in specific use cases, and the ability to integrate with third-party software are all important deciding factors. In this article, I will go over […].

Big Data 72

Big Data Software Data Architecture IT 72

Dataiku

JUNE 15, 2022

One key to more efficient, effective AI model and application development is executing workloads on compute platforms that offer high scalability, performance, and concurrency. Together, Dataiku and Snowflake deliver exactly that to data engineers, data scientists, and developers and now offer a full complement of integrations to improve AI, machine learning (ML), and data and analytic applications.

Machine Learning 59

Machine Learning Modeling Analytics 59

TDAN

JUNE 15, 2022

Occasionally, I pick up on trends in my peripheral vision. These are trends that aren’t in the center of my professional field of view, but are out there on the edges. Obviously, these trends are in the center of someone’s field of view, and there are people out there who make a living tracking technology […].

Metrics 59

Metrics Technology Data Architecture Data Strategy 59

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.

Manufacturing

CIO Business Intelligence

JUNE 15, 2022

It’s an imperative today for both public and private sector organisations to invest in, implement and revolve company culture around technologies of the future. And Industry 4.0, otherwise known as the fourth industrial revolution (4IR), is at the core of this effort, which involves a synergised approach to production based on a groundswell of cutting-edge IT, large-scale automation of business processes, and a massive spread of AI.

Digital Transformation 52

Digital Transformation Interactive Technology Strategy 52

Nutanix

JUNE 15, 2022

Enterprises increasingly face database challenges, including rising DB management costs, time-consuming manual DB tasks like provisioning and patching, lack of resource utilization visibility, inability to scale on demand, and a non-existent user experience.

Enterprise 35

Enterprise Management 35

CIO Business Intelligence

JUNE 15, 2022

Pre-COVID, agility became an aspiration and rallying cry for organizations seeking to embrace emerging technologies and pursue technology-enabled innovation, often to stave off digital disruption in their industries. Once the pandemic hit, that nice-to-have became an existential necessity. “As CIO, I’m constantly looking at ways to become more agile and using IT as a strategic differentiator,” says Scott duFour, global CIO at digital payment solutions company Fleetcor.

IT 145

IT Digital Transformation Technology Strategy 145

Nutanix

JUNE 15, 2022

Nutanix Database Service - NDS , database, database as a service, DBaaS, HCL

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32

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy

CIO Business Intelligence

JUNE 15, 2022

By Jeroen Kleen and Gerry Nolan. If you recently integrated cloud technologies into your IT environment, chances are your team spent many months working behind the scenes, diligently setting up the implementation to generate quick gains for the business. They likely scoped out projects that can benefit from the newfound agility and migrated some early or pilot workloads.

IT 145

IT Cost-Benefit Digital Transformation Management 145

Smarten

JUNE 15, 2022

This article should serve as a plea on behalf of the average business user ! Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get

Analytics 52

Analytics ROI Data-driven Sales 52

CIO Business Intelligence

JUNE 15, 2022

As EVP and CIO for American television provider DISH, Atilla Tinic leads IT strategy, delivery and operations for all of the company’s pay-TV and wireless brands—from the 25-year-old direct-broadcast satellite service DISH Network to the born-in-the-cloud IPTV service Sling TV and smart home service OnTech. Now several years into the cloud journey, each of DISH’s businesses “is on a little bit of their own trajectory, when it comes to infrastructure and the cloud,” says Tinic.

Broadcasting 52

Broadcasting Recreation/Entertainment Technology Consulting 52

CIO Business Intelligence

JUNE 15, 2022

The use artificial intelligence (AI) is exploding across the planet as it evolves into an essential tool for a myriad of fields and industries. But to successfully implement the technology into business operations, IT leaders need to surround themselves with global experts while building a state-of-the-art ecosystem. The place to start looking for such experts in Canada is Québec, the nation’s AI powerhouse.

Deep Learning 145

Deep Learning Data-driven Data Science Publishing 145

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing