Analytics Vidhya
MARCH 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction Here’s a quick puzzle for you. I’ll give you two titles, and you’ll have to tell me which is fake. Ready? Let’s get started: “Adani Group is planning to explore investment in the EV sector.” “Wipro is planning to buy an EV-based startup.” […].
David Menninger's Analyst Perspectives
MARCH 9, 2022
Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gaining competitive advantage, improving customer experience and increasing sales. But getting the right external data for a particular requirement is not always easy.
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KDnuggets
MARCH 9, 2022
Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.
CIO Business Intelligence
MARCH 9, 2022
Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud. By far the fastest approach is to lift and shift the whole environment, says Matthew Hon, CTO for public sector at technology services company Fujitsu Americas, as rewriting applications for the cloud could t
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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.
Analytics Vidhya
MARCH 11, 2022
Natural Language Processing, or NLP for short, is a branch of Artificial Intelligence that allows machines to comprehend, process, and manipulate human languages. The breakthrough in NLP bridged the gap between humans and machines, paving the way for leading-edge technologies such as Language Translator, Voice Assistants such as Siri, Customer Service Chatbots, and many more. […].
Smart Data Collective
MARCH 5, 2022
Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
MARCH 9, 2022
When Martin McCann and Mathias Born decided to create Trade Ledger, an Australian lending platform, their plan was to simplify and streamline lending services through cloud-based software for lenders. Their journey provides insights for CIOs in their own development efforts. When Trade Ledger started to develop its software as a service, Born’s team was focused on how to build and architect a system that wouldn’t be obsolete in a few years.
Analytics Vidhya
MARCH 8, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition. ML provides all possible keys in all these fields and more, and it set […].
Cloudera
MARCH 10, 2022
As an official sponsor of International Women’s Da y, Cloudera is excited to celebrate Women’s History Month and International Women’s Day, and to take up the mantle of this year’s theme #BreakTheBias. . Even in industries where women are underrepresented, like tech, women have made a lot of progress. Progress over many decades has slowly transformed the workplace into an environment where women’s strengths are recognized and valued.
KDnuggets
MARCH 8, 2022
Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.
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.
CIO Business Intelligence
MARCH 10, 2022
Much has been made of the perilous future CIOs whose organizations rely on mainframes may soon have to navigate, but the reality of mainframe infrastructure’s long-term outlook is a little more nuanced than that, as two recent news announcements attest. Fujitsu recently divulged it will end sales of its mainframes by April 2031, discontinuing support five years after that.
Analytics Vidhya
MARCH 10, 2022
Introduction The gushing VC funds, the blessing of unicorns, the pool of enterprising tech talent have left start-ups with no option but to move faster. In a fast-paced company, decisions have to be faster and more decentralized. The large meetings that have to find an intersection across many busy calendars can slow down decisions in […]. The post The Power of Decisioning Async appeared first on Analytics Vidhya.
Smart Data Collective
MARCH 10, 2022
Big data has become a core aspect of modern web marketing. Companies need to use data to optimize their websites and get the most value out of their digital marketing strategies. Over 1.1 trillion megabytes of data are created every day. The majority of this data is generated over the Internet. This gives companies a huge opportunity to bolster their online marketing strategies by leveraging big data to the best of their abilities.
KDnuggets
MARCH 10, 2022
Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.
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.
CIO Business Intelligence
MARCH 9, 2022
High performance computing (HPC) and Artificial Intelligence (AI) solutions are being deployed on-premises, in the cloud, and at the edge across a wide range of industries. According to a study by Grand View Research, the global HPC market is expected to reach $60 billion by 2025.¹. In manufacturing, HPC and AI are being used for predictive and prescriptive maintenance, automation of product lifecycle management, and short design cycles.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction A data source can be the original site where data is created or where physical information is first digitized. Still, even the most polished data can be used as a source if it is accessed and used by another process. A data source […]. The post An Overview of Data Collection: Data Sources and Data Mining appeared first on Analytics Vidhya.
Smart Data Collective
MARCH 6, 2022
Business intelligence can help you gain a more accurate perspective on how your business is performing using key performance metrics. By 2023, 33% of companies will practice decision intelligence. Are you looking to use business intelligence to optimize business and security operations? Read on for an explanation and analysis of how business intelligence can leverage data to guide optimizing business and security operations.
KDnuggets
MARCH 7, 2022
In this article, you will learn to export your models and use them outside a Jupyter Notebook environment. You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user.
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.
CIO Business Intelligence
MARCH 10, 2022
Keeping watch on where data travels over the internet is relevant to any business that cares what country might have access to its private information. Exactly where data moves and is stored is tied to the concept of data sovereignty, the idea that data is governed by the laws of the country where it’s located. If data stays in Canada, local privacy laws apply to personal information.
Analytics Vidhya
MARCH 8, 2022
Analytics Vidhya is back with another edition of Blogathon which is live now! Click here to register! “There is no greater agony than bearing an untold story inside you.” […]. The post Blogathon 18 is Live Now! Total prizes worth INR 6 Lakh(?USD 8000) appeared first on Analytics Vidhya.
Cloudera
MARCH 8, 2022
Bias is everywhere. . We’re surrounded by it. . And it’s natural. We are alive today as a species because of biases. But it has a tangible impact on our personal and professional lives. Biases shape us and our experience. . As primary caregivers, women have felt the impact of biases and expectations more keenly during the pandemic. Last year women in my network felt like they were being expected to do everything at home and at work.
KDnuggets
MARCH 11, 2022
To forecast costs for AI systems, it can be useful to talk about their “level” just like SAE has levels for self-driving cars. Adopting a level system can help organizations plan and prepare for AI systems that scale in complexity over time.
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.
CIO Business Intelligence
MARCH 10, 2022
IT gets lifecycle management wrong a lot. Search for a definition of lifecycle management and you’ll find something along the lines of: A strategic approach to managing the life cycle of an application or platform from conception to end of life — from provisioning, through operations, to retirement. Under this definition lifecycle management doesn’t seem to do anything.
Analytics Vidhya
MARCH 11, 2022
Introduction Getting to meet and interact with people from your domain is always a great feeling. This is why conferences that revolve around Artificial Intelligence (AI) are great for developers, analysts and students who wish to work with AI (build or incorporate). Participating in international conferences is one of the best ways to stay updated […].
Smart Data Collective
MARCH 10, 2022
Data analytics is giving us more insights into many of the most pressing challenges that we have faced as a society. More policymakers are using data to make more informed decisions. Analytics Insight shared a list of 10 major ways that big data is changing politics. The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts.
KDnuggets
MARCH 9, 2022
This article discusses 2 levels of data science learning, and the amount of time that will need to go into each. From 6 months to 4 years, this write-up covers a number of skills and how long it takes to acquire them.
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.
CIO Business Intelligence
MARCH 11, 2022
The manufacturing industry has a history of embracing innovations designed to improve efficiencies, quality, and worker safety. Consider the impact Henry Ford made by bringing the assembly line to auto manufacturing, creating previously unheard-of efficiencies. Today, manufacturers are using newer tools like robotics, machine learning, and artificial intelligence (AI) to achieve similar goals.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.
Juice Analytics
MARCH 11, 2022
Is a dashboard a data story? It is a question we get all the time. But I don’t think it is the right question. A better question is: How can I apply concepts of data storytelling to dashboard design? Dashboards are a form of data communication. Data storytelling is a collection of skills and concepts that help improve data communication. They are apples and oranges.
KDnuggets
MARCH 9, 2022
It takes time and considerable resources to collect, document, and clean data before it can be used. But there is a way to address this challenge – by using synthetic data.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
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