CIO Business Intelligence
SEPTEMBER 23, 2021
A recent Ernst and Young report found that 81% of organizations embrace the notion that data should be at the heart of all decision making. Yet, in many organization the decision-making process is stalled because data is still kept in silos.
Analytics Vidhya
SEPTEMBER 24, 2021
This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.
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David Menninger's Analyst Perspectives
SEPTEMBER 23, 2021
Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams.
DataKitchen
SEPTEMBER 20, 2021
Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Dataiku
SEPTEMBER 20, 2021
According to the O’Reilly book “Machine Learning Logistics” by Ted Dunning and Ellen Friedman, “90% of the effort in successful machine learning is not about the algorithm or the model or the learning. It’s about logistics.” Many of these logistics fall within the confines of machine learning model management which, without a crystal-clear process in place for, is bound to cause errors (or worse, failures) within a given project.
Analytics Vidhya
SEPTEMBER 22, 2021
This article was published as a part of the Data Science Blogathon In this guide, I will share a detailed deep-dive of what is sampling, what are sampling techniques, and the industry use cases. As you know, fundamental to Data Science is getting good quality sample data. We always derive population parameters from the sample. Our […]. The post A Complete Guide on Sampling Techniques for Data Science appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
SEPTEMBER 22, 2021
We have previously talked about some of the open source tools available to create big data projects. Kubernetes is one of the most important that all big data developers should be aware of. Kubernetes has become the leading container orchestration platform to manage containerized data-rich environments at any scale. It has vastly simplified container deployment and management yet with the added complexity of managing clusters.
Dataiku
SEPTEMBER 21, 2021
To truly extract value from their data science, machine learning, and AI investments, organizations need to embed AI methodology into the core of not only their data strategy, but their holistic business model and processes. At Dataiku, we’ve developed six main drivers (outlined in the infographic below) that an organization must effectively deliver on to evolve their AI maturity.
Analytics Vidhya
SEPTEMBER 23, 2021
This article was published as a part of the Data Science Blogathon Overview of Electric Vehicle Sector The supply of fossil fuels is constantly decreasing. The situation is very alarming. It is time for the world to slowly adapt to electric vehicles. A lot of change needs to happen. Major carmakers like Tesla and Porsche manufacture […]. The post Data Analysis and Price Prediction of Electric Vehicles appeared first on Analytics Vidhya.
DataRobot
SEPTEMBER 21, 2021
Could you do your job without a computer? As a child in the 1970s, I was told that computers would take all of our jobs. Yet here I am, working in a career that wouldn’t exist without computers. Most modern jobs require computers for emails, report writing, or videoconferences. Rather than replacing our jobs, computers have created new jobs and made existing jobs more human-centric, as we delegate tedious mechanistic tasks to machines.
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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?
Smart Data Collective
SEPTEMBER 20, 2021
Big data has become an essential asset in the fight against cybercrime. This has caused the demand for cybersecurity professionals with a background in big data to grow. It is important to use the latest data analytics and AI technology to counter these threats if at all possible. Business Owners Lean on Big Data to Deal with Cybercrime Threats. It’s no secret that the COVID pandemic caused a lot of industries to get flipped on their head or at least make some major organizational changes in ord
Cloudera
SEPTEMBER 20, 2021
There are many ways that Apache Kafka has been deployed in the field. In our Kafka Summit 2021 presentation, we took a brief overview of many different configurations that have been observed to date. In this blog series, we will discuss each of these deployments and the deployment choices made along with how they impact reliability. In Part 1, the discussion is related to: Serial and Parallel Systems Reliability as a concept, Kafka Clusters with and without Co-Located Apache Zookeeper, and Kafka
Analytics Vidhya
SEPTEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Introduction: Hello Readers, hope all of you are doing great. In this article, we will be covering all the basics needed for a beginner to start with recursion in python. What is Recursion? In many programs, you must have implemented a function that calls/invokes […]. The post Beginner’s Guide to Recursion in Python appeared first on Analytics Vidhya.
Dataiku
SEPTEMBER 22, 2021
As a business, we know we can — and believe we must — leverage our resources to advance sustainable practices and reduce our carbon footprint. Here, we’ll share our sustainability journey as a scaling software company to provide context for readers looking to begin their own in this uncharted territory.
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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.
Smart Data Collective
SEPTEMBER 24, 2021
While it might sound ironic that high-tech fields such as data science still require you to submit a resume, even the most cursory look over a list of job openings should prove this to be true. Managers and HR department staffers in even the most technically-oriented companies are actually on the lookout for candidates with an impressive resume. This might encourage some applicants to stretch the truth.
Cloudera
SEPTEMBER 21, 2021
Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. With 100s of open source operators, Airflow makes it easy to deploy pipelines in the cloud and interact with a multitude of services on premise, in the cloud, and across cloud providers for a true hybrid architecture. .
Analytics Vidhya
SEPTEMBER 19, 2021
This article was published as a part of the Data Science Blogathon Introduction OpenCV is the most popular library for the task of computer vision, it is a cross-platform open-source library for machine learning, image processing, etc. using which real-time computer vision applications are developed. CVzone is a computer vision package, where it uses OpenCV and […].
Dataiku
SEPTEMBER 23, 2021
We speak a lot about the ways we can use data, transform it, and create powerful models based on advanced machine learning techniques, but we sometimes forget where the data comes from initially. In an organization, data is sourced either internally, like the information flowing out of a CRM database , or externally, when we think about any bytes of data that were provided by a third party.
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.
Smart Data Collective
SEPTEMBER 24, 2021
Machine Learning is a branch of Artificial Intelligence that works by giving computers the ability to learn without being explicitly programmed. Machine Learning is already being used in many aspects of our life , from recommending movies or music based on past preferences to giving doctors’ advice on relevant treatments for their patients. As technology advances, machine learning will have more opportunities to help businesses engage with their customers and improve the overall customer experie
FineReport
SEPTEMBER 22, 2021
More and more companies are now using business intelligence to improve their management efficiency and operating conditions. As important parts of business intelligence, scorecard and dashboard can both play an obvious role in promoting enterprise development. However, limited by factors such as cost and corporate strategies, sometimes companies need to make a choice between scorecard vs dashboard.
Analytics Vidhya
SEPTEMBER 21, 2021
This article was published as a part of the Data Science Blogathon Introduction You must be aware of the fact that Feature Engineering is the heart of any Machine Learning model. How successful a model is or how accurately it predicts that depends on the application of various feature engineering techniques. In this article, we are […]. The post Complete Guide to Feature Engineering: Zero to Hero appeared first on Analytics Vidhya.
bridgei2i
SEPTEMBER 21, 2021
WEBCAST: Transform Enterprise Revenue Growth with AI. Today enterprises are navigating across a spectrum of technologies powered by the Internet, cloud computing, and mobile applications, which have changed how B2B enterprises engage and transact with their customers. In this webinar, Jitendra Jethanandani – Vice President, Enterprise Tech, BRIDGEi2i teams up with Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere to discu
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Smart Data Collective
SEPTEMBER 19, 2021
Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. As far as computer and information technology occupations go, security awareness training is a key starting point for anyone interested in the bright future that this sector offers.
Ontotext
SEPTEMBER 21, 2021
ONTOTEXT ANSWER: Wanting a complete replacement of the old cluster is a rare situation. Perhaps you are replicating a development or staging environment in production. Or, for some reason, your data got completely corrupted, connectivity was lost, and it looks like resetting the cluster completely would be easier than trying to fix it with a standard restore.
Analytics Vidhya
SEPTEMBER 22, 2021
This article was published as a part of the Data Science Blogathon Introduction Before explaining the correlation and correlation metrics, I would like you to answer a simple question. Let’s suppose you are the owner of a company that makes soft drinks. You have collected past one-year records which are the cost and sales of the […]. The post Different Type of Correlation Metrics Used by Data Scientists appeared first on Analytics Vidhya.
Cloudera
SEPTEMBER 24, 2021
One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Where does it stand today? What are its current challenges and opportunities? In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase.
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.
Smart Data Collective
SEPTEMBER 22, 2021
Blockchain technology has been instrumental in the development of new forms of commerce. A growing number of new cryptocurrencies have emerged, due to major developments in blockchain. We have talked in the past about using data analytics to choose the best cryptocurrencies to invest in. However, we don’t talk as much about the role of blockchain in the inception of these cryptocurrencies and new digital coins on the scene.
Ontotext
SEPTEMBER 23, 2021
This post continues our series aiming to provide the bigger picture of what we do and how our webinars fit into it. All of our webinars are available on demand. If we’ve managed to peak your interest with this post, you can request a free recording. So, we started this series by introducing knowledge graphs & their application in data management and how to reason with big knowledge graphs & use graph analytics.
Analytics Vidhya
SEPTEMBER 22, 2021
This article was published as a part of the Data Science Blogathon Image 1 Introduction I am sure many of you have read several articles around the world stating the buzz around “Machine Learning, “Data Scientist”, “Data Visualization” and so on. Some have branded data science as the sexiest job of the 21st century. A report […].
Jen Stirrup
SEPTEMBER 21, 2021
I have always been more comfortable in front of a crowd than in a crowd. I am an INTJ introvert, happy in my own company. That said, I love to teach and I challenge myself to present as often as I can. I have been truly lucky to present all over the world, from small events with just five people right through to a slot on a BBC current affairs program which garnered over 9 million views.
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.
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