Analytics Vidhya
DECEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Generally, machine learning can be classified into four types: supervised machine learning, unsupervised machine learning, semi-supervised machine learning, and reinforcement learning. Supervised machine learning is a type of machine learning that is the easiest and less complex type or branch of data science. […].
David Menninger's Analyst Perspectives
DECEMBER 15, 2022
Recently, I suggested you need to “ mind the gap” between data and analytics. This perspective addresses another gap — the gap in skills between business intelligence (BI) and artificial intelligence/machine learning (AI/ML).
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KDnuggets
DECEMBER 16, 2022
Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math.".
CIO Business Intelligence
DECEMBER 14, 2022
CIO Ted Ross believes the honeymoon is over for breakneck productivity when it comes to hybrid work, and he’s not the only one. Tech employees at the City of Los Angeles IT agency who were forced to work remotely in the early pandemic days were very efficient, Ross says. “Fully into the pandemic we had a 34% increase in project delivery,” he adds. But since then, productivity and innovation have waned, in part because of fading relationships between once in-person teams, along with a slew of new
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Analytics Vidhya
DECEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Humans can identify new objects with fewer examples. However, machines would require thousands of samples to identify the objects. Learning from a limited sample would be challenging in machine learning. Having challenges, in recent advances, Machine learning has come up with new […].
Smart Data Collective
DECEMBER 13, 2022
Technology is quickly becoming a critical component of our existence. Today, technology powers every important aspect of our life, from business to education to medicine. It has greatly aided in the automation of formerly manual activities, making everything more smooth and efficient. However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance.
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
DECEMBER 15, 2022
It’s a wrap. Lee interviews Maryfran Johnson about 2022 trending themes in technology as discussed with CIOs on CIO Leadership Live. Watch this episode: Listen to this episode: CIO Leadership Live.
Analytics Vidhya
DECEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Are you using Amazon Web Services (AWS) Simple Storage Service (S3) to store your data and media files? If so, you’re not alone – AWS S3 is a popular choice for its scalability and reliability. However, it’s not uncommon to make common AWS […]. The post 10 Common AWS S3 Mistakes appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 15, 2022
Artificial intelligence has offered a plethora of benefits for businesses in every sector. The ecommerce industry is among those most benefiting from advances in AI. Therefore, it is no surprise that the market for AI-enabled ecommerce services is projected to be worth nearly $17 billion by 2030. Ecommerce giants like Amazon are finding creative ways to leverage AI.
KDnuggets
DECEMBER 13, 2022
The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
CIO Business Intelligence
DECEMBER 16, 2022
Having a clear vantage point within the organization, CIOs play a vital role bringing together engaged and motivated employees to work toward a common outcome, increase productivity, and achieve better business outcomes. Many CIOs know that a high-performance team is usually greater than the sum of its parts, comprised of talent with highly complementary skills, a broader set of objectives than other teams, and fine-tuned approaches to collaboration and communication.
Analytics Vidhya
DECEMBER 10, 2022
Introduction ‘Hey, Siri, ‘Hey, Google,’ and ‘Alexa’ are some common voice assistants we use on an everyday basis. These fascinating conversational bots use Natural Language Understanding to understand the inputs. NLU is a subset of Natural Language Processing that enables the machine to understand the natural language (text/audio). NLU is a critical component in most […].
Smart Data Collective
DECEMBER 13, 2022
With technological advancement, data revolutionizes many business processes. Experts assert that one of the leverages big businesses enjoy is using data to re-enforce the monopoly they have in the market. Big data is large chunks of information that cannot be dealt with by traditional data processing software. It needs to be analyzed with premium tech tools to deduce insights germane to user experience as well as scaling businesses.
KDnuggets
DECEMBER 14, 2022
Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Grab this handy reference sheet to make certain you know how to implement what you need to, when you want to!
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
CIO Business Intelligence
DECEMBER 14, 2022
When you think about people entangled in organizational politics, terms that come to mind include manipulation, self-serving, turf battles, power plays, and hidden agendas. Not terribly uplifting. But Neal Sample, former CIO of Northwestern Mutual, sees it a different way. “I think of a different set of words like influence, diplomacy and collaboration,” he says.
Analytics Vidhya
DECEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, Mr.Someone in the discussion coined the new word how ACID and BASE properties of DATA. Suddenly drop silence in the room. Everyone started […]. The post Understand the ACID and BASE in Morden Data Engineering appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 16, 2022
Did you know that companies are projected to spend over $107 billion on AI-based marketing solutions by 2028? There is no doubt that artificial intelligence is creating a number of new changes for people in the marketing profession. However, many people are still wondering what the actual effects of AI on marketing will be. If yo are in the marketing profession, you will need to learn more about some of the biggest AI trends that will change your career in the years ahead.
KDnuggets
DECEMBER 12, 2022
4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
IBM Big Data Hub
DECEMBER 16, 2022
Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases. It’s a fitting way to end what has been another big year for the industry. We’re at an exciting inflection point for AI.
Analytics Vidhya
DECEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction HyperLedger Fabric is a permissioned blockchain infrastructure initially developed by IBM and Digital Asset. It is used for providing a modular architecture with a delineation of roles between the nodes in the infrastructure. It is also used in the execution of various Smart […].
Smart Data Collective
DECEMBER 15, 2022
Data analytics is not a new term, as it’s the same as interpreting information. It has been going on in various fields for many years and is now being incorporated into the business. The primary purpose is to predict or have future insights. Today, business data and analytical insights are the most sought-after to increase revenue and improve corporate decisions.
KDnuggets
DECEMBER 16, 2022
Customer sentiment analysis involves collecting, analyzing, and leveraging data to understand customers' feelings. This article focuses on how to collect data for customer sentiment analysis.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
CIO Business Intelligence
DECEMBER 12, 2022
Microsoft has signed a 10-year deal with the London Stock Exchange Group (LSEG) that calls for the software giant to buy a 4% stake in the exchange in order to jointly develop new products and services for data and analytics. Microsoft will buy the stake from a Blackstone and Thomson Reuters consortium, which previously sold the financial data company Refinitiv to LSEG for £22bn (US$26.9 billion) in 2021.
Analytics Vidhya
DECEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Source – itprc.com Introduction Oracle database assures most of the business requirements, including low RTO (Recovery Time Objective) and RPO (Recovery Point Objective) in case of a failure; hence it is one of the popular choices among businesses. Running Oracle on AWS can reduce […].
Smart Data Collective
DECEMBER 13, 2022
Cloud technology is changing the state of the healthcare sector. A number of hospitals are using the cloud for a variety of purposes, including improving data scalability, offering employees the opportunity to work remotely and improving patient engagement. Due to these many benefits, healthcare organizations are expected to spend over $128 billion on cloud services this year.
KDnuggets
DECEMBER 12, 2022
KDnuggets recently had the opportunity to sit down with newly-released acclaimed artificial intelligence ChatGTP from OpenAI. What we found during the course of conversation was both interesting and surprising. Read on to find out what ChatGPT knew about data science and much more.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
CIO Business Intelligence
DECEMBER 12, 2022
It’s human nature — as well as the nature of this magnificent planet — that change is constant. But sometimes, change can be perceived as bad. We see and feel this in the form of climate change, supply chain issues, and sustainability challenges, just to name a few. But are these problems insurmountable? No. Rather, we see these as opportunities to innovate and make positive changes.
Analytics Vidhya
DECEMBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically. However, successfully deploying and managing ML in production can be challenging, requiring careful coordination between data scientists and […].
Smart Data Collective
DECEMBER 12, 2022
More companies are investing in cloud technology to jumpstart their growth. One of many reasons that people are using cloud computing is that it helps them create cohesive remote teams. This is one of the many reasons that more organizations are shifting towards a global workforce. Cloud Technology is Driving More Companies Towards Embracing Remote Teams.
KDnuggets
DECEMBER 14, 2022
This blog post uses the Concrete-ML library, allowing data scientists to use machine learning models in fully homomorphic encryption (FHE) settings without any prior knowledge of cryptography. We provide a practical tutorial on how to use the library to build a sentiment analysis model on encrypted data.
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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