Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction Borrowing and lending have always been essential components of the financial world. Without this, banks, governments, and businesses worldwide would be unable to function. When you borrow money from a bank, a bank is lending out someone else’s money. The bank, in […].
CIO Business Intelligence
OCTOBER 1, 2022
Over the past 184 years, The Procter & Gamble Co. (P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. Its brands are household names, including Charmin, Crest, Dawn, Febreze, Gillette, Olay, Pampers, and Tide. In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform.
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Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction Job interviews in data science demand particular abilities. The candidates who succeed in landing employment are often not the ones with the best technical abilities but those who can pair such capabilities with interview acumen. Even though the field of data science […].
Smart Data Collective
OCTOBER 1, 2022
We have previously talked about ways that big data is changing the world of sports. Formula 1 teams are among those most affected. Ever since the Oakland A’s switched their recruitment policy from a players’ running speed and strength to a more sophisticated and nuanced look at the on-base slugging percentage, the world of sports has become more and more accustomed to utilizing sports analytics in their team-building.
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.
Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction While reading the heading of this article, one has surely got to know that this will gonna be the advanced topic with regards to SVM – The supervised machine learning algorithm capable of implementing both classification and regression problem statements. But no […].
CIO Business Intelligence
OCTOBER 1, 2022
Many view today’s supply chains as true marvels of modern existence — push a button and a desired object is delivered to one’s doorstep. Others see modern supply chains disrupting local economies and damaging the environment. Massively complex, interdependent, and subject to disruptions, supply chains were, for the most part just a few years ago, the purview of midlevel executives operating out of sight of newsrooms and boardrooms.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
OCTOBER 1, 2022
If you want a deep dive on transformers, this Stanford course has made its courseware freely available, including lecture videos, readings, assignments, and more.
Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” Companies like Google, Amazon, and Microsoft gather large bytes of data, harvest it, and create complex tracking algorithms. Yet, even for companies that do not […].
Dataiku
OCTOBER 1, 2022
Consumers have grown increasingly dependent on the pervasiveness of AI in everyday life. For example, with a click of a button, consumers can make purchases and, based on user behavior, AI identifies patterns and generates helpful suggestions that organizations can then leverage. Yet, while day-to-day operations have simplified, a burning question remains — is this data being used and stored responsibly?
CIO Business Intelligence
OCTOBER 1, 2022
In their rush to the cloud, companies can easily end up with significant waste by taking a “best efforts” approach to aligning cloud instance types and sizes to workloads. Businesses, particularly those that are relatively new to the cloud, often overprovision resources to ensure performance or avoid running out of capacity. The result is that their workloads may consume a fraction of the resources being paid for.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
KDnuggets
OCTOBER 1, 2022
This article is about a specific use-case that comes up often when dealing with time-series data.
CIO Business Intelligence
OCTOBER 1, 2022
Modernization is on the minds of IT decision makers, and with good reason — legacy systems cannot keep up with the realities of today’s business environment. Additionally, many organizations are discovering their modernization advantage: their developer teams, and the databases that underpin their applications. “Legacy modernization is really a strategic initiative that enables you to apply the latest innovations in development methodologies and technology to refresh your portfolio of appl
KDnuggets
OCTOBER 1, 2022
Learn about the connection between people analytics and creating diversity, equity, and inclusion (DEI) accountability.
CIO Business Intelligence
OCTOBER 1, 2022
Data is the lifeforce of modern business: It accelerates revenue, fuels innovation, and enhances customer experiences that drive small and mid-size businesses forward, faster. Yet while data-driven modernization is a top priority , achieving it requires confronting a host of data storage challenges that slow you down: management complexity and silos, specialized tools, constant firefighting, complex procurement, and flat or declining IT budgets.
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.
Cloudera
OCTOBER 1, 2022
While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. .
CIO Business Intelligence
OCTOBER 1, 2022
Consolidation is happening across industries – even spirits. Acquiring companies gain a myriad of benefits when they add new brands to the fold, but one resulting downside is internal complexity and confusion caused by different systems and processes being used. The Pernod Ricard Group, the producer of premium spirits such as Chivas, Absolut, Martell, Ricard and Perrier-Jouet, experienced that very challenge.
CIO Business Intelligence
OCTOBER 1, 2022
Companies capture more data and compute capacity at the edge. At the same time, they are laying the groundwork for a distributed enterprise that can capitalize on a multiplier effect to maximize intended business outcomes. The number of edge sites — factory floors, retail shops, hospitals, and countless other locations — is growing. This gives businesses more opportunity to gain insights and make better decisions across the distributed enterprise.
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