TDAN
OCTOBER 5, 2022
Fortune 1000 organizations spend approximately $5 billion in total each year to improve the trustworthiness of data. Yet, only 42% of the executives trust their data. According to multiple surveys, executives across industries do not completely trust the data in their organization for accurate, timely business-critical decision-making. In addition, organizations routinely incur operational losses, regulatory […].
KDnuggets
OCTOBER 5, 2022
Digital transformation is evolving, and so is the fintech industry by implementing AI trends and leveraging several benefits, such as optimizing productivity, increasing ROI, and enhancing security.
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CIO Business Intelligence
OCTOBER 5, 2022
Data-driven supply chains continues to be a hot topic, given what’s happened over the last couple of years with the pandemic, lockdowns, transportation woes, container ships held outside ports, war in Ukraine and other issues wreaking havoc. Problems caused by these events are ongoing, but if addressed from a proactive rather than reactive standpoint, there are ways to mitigate their detrimental impact, especially when the analytics and processes become clear.
KDnuggets
OCTOBER 5, 2022
What is NLP, and what types of questions related to NLP can you expect at the NLP-related job interviews?
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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.
CIO Business Intelligence
OCTOBER 5, 2022
As transformational IT has increasingly become a business imperative, implementation partners have been looking to strengthen their value proposition for their customers. To differentiate themselves from transactional service providers, the more proactive partners are evolving their offerings and approaches, thereby becoming more strategic than they had been in the past.
Smart Data Collective
OCTOBER 5, 2022
From creating world-famous games like Tertis to being recognized by Google and Facebook with some of the most prestigious programmer awards, Russian developers have come a long way to becoming global leaders in programming. The country is known for its large pool of skilled and expert programmers who are capable of accomplishing the most challenging tasks.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
OCTOBER 5, 2022
A comprehensive guide on optimizing model hyperparameters with Scikit-Learn.
CIO Business Intelligence
OCTOBER 5, 2022
By Michael Loggins, award-winning executive IT leader. Industry 4.0 has vast potential to transform what factories can do. Manufacturing can be faster, more data-driven, more responsive to the needs of workers and customers, and more powered by innovations such as artificial intelligence, internet of things, digital supply chains, and blockchain. While the possibilities of Industry 4.0 are extraordinary—and realizing them is seemingly just within our reach—there are still obstacles to overcome b
KDnuggets
OCTOBER 5, 2022
Jeff Heer, co-collaborator on data visualization tools like D3.js, Vega, and Vega-Lite, recently addressed the question, "What makes a visualization good?".
TDAN
OCTOBER 5, 2022
“A rose by any other name would smell as sweet” is a popular maxim from William Shakespeare’s play Romeo and Juliet, in which Juliet argues that it does not matter that Romeo is from her family’s adversary house of Montague. If a rose smells like a rose no matter what you call it, can the same […].
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
OCTOBER 5, 2022
Top Free Git GUI Clients for Beginners • A Day in the Life of a Data Scientist: Expert vs. Beginner • Getting Started with Pandas Cheatsheet • Top 5 Machine Learning Practices Recommended by Experts • 7 Steps to Mastering Machine Learning with Python in 2022.
Data Virtualization
OCTOBER 5, 2022
Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals. Here, as. The post Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Infor
IBM Big Data Hub
OCTOBER 5, 2022
IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP). As far back as the 1990s and early 2000s there were companies, like the one discussed in this podcast episode , that took advantage of TM1’s power to support full integration of their financial
TDAN
OCTOBER 5, 2022
The current decade will see the most rapid technological advancements in history: emergence of new technology and faster development of existing technology. One of the technologies that is expected to grow is the Internet of Things (IoT). Here are a few statistics that support this belief: — IoT already has generated more than $123 billion […].
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.
DataKitchen
OCTOBER 5, 2022
Part 1: Defining the Problems. This is the first post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
TDAN
OCTOBER 5, 2022
Do you know how your automatic vehicle presents you with the data regarding your driving, traffic movement on the roads, vehicle condition, and other such things perfectly accurate? We all are aware of data analytics, which is a process of analyzing raw data and presenting it in a form to draw out a conclusion from […].
DataKitchen
OCTOBER 5, 2022
Part 1: Defining the Problems. This is the first post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
TDAN
OCTOBER 5, 2022
Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle. We’ll explore best practices in developing data requirements and selecting data sources that lead to acquiring the right data for business purposes. […].
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
OCTOBER 5, 2022
Unit 42 is Palo Alto Networks’ world-renowned threat intelligence and security consulting team. The key headline of the latest Unit 42 Cloud Threat Report isn’t about the most sophisticated attacks. It’s that nearly all organizations we analyzed lack the proper controls to keep their cloud resources secure. The term for this in cloud security is identity and access management (IAM) , and it refers to the policies that define who has permission to do what in a cloud environment.
TDAN
OCTOBER 5, 2022
Introduction Machine learning is slowly permeating every corner of our digital life, and with that life intrinsically tied to the internet, it’s never been a better time to be a hacker. With a massive digital surface and increasingly intelligent tools, hackers are holding just under $4 billion in ransom from large companies every year. Hacking […].
CIO Business Intelligence
OCTOBER 5, 2022
By Ashok Rutthan, Chief information security officer at Massmart. Organizations of every size and sector are experiencing a rising tide of ransomware attacks, resulting in the collective global loss of billions of dollars and untold brand damage. Leaders are learning first hand the ways ransomware has become a scourge on smooth operations and financial well-being.
Smarten
OCTOBER 5, 2022
Business Users Can and Will Use Embedded BI to Improve Performance! If your organization is considering BI tools or augmented analytics but your management or IT team believes it will be too difficult to engender user adoption, it is important to understand your options. With the right tools and strategy, your enterprise can implement analytics, democratize data and improve data literacy, assuring user adoption and a significant return on investment (ROI) and low total cost of ownership (TCO).
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.
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