Sat.Sep 03, 2022 - Fri.Sep 09, 2022

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The Future of Machine Learning in Cybersecurity

CIO Business Intelligence

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine

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Top 7 Cloud Computing Prerequisites to Learn in 2022

Analytics Vidhya

Introduction If I have to place the finger at any lucrative and promising domains ruling the trending job market at the moment, it has to be Cloud Computing. The scope of cloud computing is only moving faster, strength by strength, and has a brighter future ahead for everyone. There is a surging need for medium […]. The post Top 7 Cloud Computing Prerequisites to Learn in 2022 appeared first on Analytics Vidhya.

Marketing 371
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SQL vs NoSQL: 7 Key Takeaways

KDnuggets

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

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A Guide To Performing Successful Content Reporting Using Modern Dashboards

datapine

Table of Contents. 1) What Is Content Reporting? 2) What Is A Content Dashboard? 3) Why Is Content Report Analysis Important? 4) Content Dashboards Examples. 5) Content Reporting Best Practices. As a content manager, you most likely spend most of your time writing quality blogs, email newsletters, and social media posts, all in an effort to ensure the business is growing and achieving its goals.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Making AI accessible leads to greater innovation

CIO Business Intelligence

It’s difficult to visualise the true scale of AI, as it’s almost certainly more than you imagine – it’s going to contribute more to the global economy than the current GDP of India and China combined. PwC research suggests that AI could contribute as much as $15.7 trillion by 2030, and by singularly responsible for a 26 per cent boost in the GDP of local economies.

Testing 144
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Basic Concept Behind Apache Hive and Elasticsearch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times. That’s why I want to tell you about my experience with two powerful tools they use: Apache Hive and Elasticsearch. […].

More Trending

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Migration Guidelines for Data-Driven Ecommerce Companies

Smart Data Collective

Data-driven ecommerce companies have a strong advantage over their competitors. As we stated before, data-driven marketing strategies are extremely valuable for ecommerce companies. What kind of ROI can big data offer for the ecommerce sector? One study showed that big data helps companies in all sectors increase profitability by 60%. Ecommerce companies can increase their profit margins even more by investing in big data, because they have access to more digital information that they can use to

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Dark secrets of developer motivation

CIO Business Intelligence

Human resources has long understood that money is an inadequate motivator. We know that because workers don’t simply operate according to market conditions, always favoring more money above all else. Instead, people are looking for something more ephemeral, which we’ll call meaning. . Developers are also looking for meaning, the sense that their work has purpose, but they have unique ways of finding it that may not always obvious.

Software 131
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Machine learning Pipeline in Pyspark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn about machine learning using Spark. Our previous articles discussed Spark databases, installation, and working of Spark in Python. If you haven’t read it yet, here is the link. In this article, we will mainly talk about […]. The post Machine learning Pipeline in Pyspark appeared first on Analytics Vidhya.

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Machine Learning Algorithms – What, Why, and How?

KDnuggets

This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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Can Data Mining Aid with Off-Page SEO Strategies?

Smart Data Collective

Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing. One of the most important ways that companies can use data mining in their marketing strategies is with SEO. Data mining is especially useful in the context of offsite SEO.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

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The DataHour: Your Upcoming Data Science Learnings!

Analytics Vidhya

Fellow Data Science Enthusiasts, The only way to move forward in your career ladder is by learning and unlearning. And the best way to do that is by adding some new skills to your CV. And Analytics Vidhya comes forward to help you with this. With the new learning topics, get ready to brush up […]. The post The DataHour: Your Upcoming Data Science Learnings!

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How to build a model to find the most impactful paths in user journeys

KDnuggets

In this how-to, we’ll build a model to uncover which paths in user journeys have the biggest impact on product goals (e.g. conversion). You can use it to improve products or optimize marketing campaigns, or as a base for deeper user behavior analyses.

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Marketing Operations in 2025: A New Framework for Success

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.

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Roles of Python Developer in Data Science Teams

Smart Data Collective

Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? Why is it so important in the data science profession ? What Is Python? Python is a powerful programming language that is widely used in many different industries today.

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7 ways to create a more IT-savvy C-suite

CIO Business Intelligence

Business is business and IT is IT and never the twain shall meet. At least that’s the way it too often seems when a CIO attempts to show business management how a technology initiative can lead to tangible benefits. Helping enterprise business leaders, C-suite colleagues, and boards understand the value inherent in complex new technologies is a challenge most CIOs face from time to time.

IT 116
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Elastic Load Balancer in AWS and its Benefits

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The cloud trend has gained tremendous importance in the technology industry and the field of science in recent years. The most important aspect of cloud computing is the on-demand application delivery paradigm from the cloud customer’s perspective. As a result, cloud services […].

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Free Python for Data Science Course

KDnuggets

Ready to learn how to use Python for data science? This free course has got you covered!

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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How an IT Help Desk and Other Tools Can Reduce IT Support Tickets

Smart Data Collective

It’s probably impossible to run a business without receiving at least a few support tickets. But if your firm is constantly overwhelmed by so many tickets that it feels like you’re drowning, that’s not normal. There are ways to reduce the number of IT support tickets you receive and bring them down to a normal level. Here’s how. The Importance of Reducing Support Ticket Volume.

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Large Scale Industrialization Key to Open Source Innovation

Cloudera

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers. Cloudera has been parlaying those patterns into clear wins for the community at large and, more importantly, streamlining the benefits of that innovation to

Big Data 112
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Sentiment Analysis using Transformers – Part I

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article studies binary sentiment analysis on the IMDb movie reviews dataset. The dataset has 25000 positive and negative reviews in the training set and 25000 positive and negative reviews in the test set. Source: [link] The image below shows the number […].

Testing 331
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5 steps to move AI beyond buzzwords to deliver true transformative impact

CIO Business Intelligence

The headlines read “Artificial Intelligence (AI) will completely transform your business.” But does the hype match the reality? We have been seeing these exclamations for two decades, but where are the examples? Where are the success stories? Is AI really a game changer, and does it actually apply to my business? Every ten years it seems there is a new technology that is going to change the world, but all too often only leads to disappointment when adopting it becomes too challenging.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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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Tips To Improve App UX with Advanced Mobile Analytics?

Smart Data Collective

Analytics technology is having a huge impact on many aspects of modern business. One of the most important applications of analytics is with improving the user experience. User experience is a key part of building a successful mobile app. You cannot build a successful business with your app if it doesn’t offer a smooth experience to users. So, what are the factors that contribute to your app’s user experience?

Analytics 119
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The Modern Data Lakehouse: An Architectural Innovation

Cloudera

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Metadata 102
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RetinaNet : Advanced Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction RetinaNet is a single-stage object detection model that uses a focal loss function to deal with class imbalance during training. Focal loss applies a modulation term to the cross-entropy loss to focus learning on hard negative examples. Retina-Net is a single unified […].

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Accenture buys supply chain firm to expand Oracle business

CIO Business Intelligence

Accenture on Wednesday said that it was acquiring US-based supply chain management (SCM) software provider Inspirage for an undisclosed amount to expand its Oracle-focused business. Inspirage will move its 710 employees to the Accenture Oracle Business Group in order to bolster its supply chain management skills and expand its ability to help product-centric clients create interconnected, intelligent and innovative supply chain networks, the companies said in a joint statement.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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AI Technology Helps eCommerce Brands Optimize for Mobile

Smart Data Collective

Not unless you live in the most remote part of this world or somewhere underground, chances are that you have heard something about Artificial Intelligence (AI). But how does AI technology help eCommerce brands optimize for mobile? Artificial Intelligence is becoming a big part of how different industries operate. The popularity of smart devices, security checks, research in the healthcare industry, and self-checkout registers are just a few examples of areas where AI is prominent.

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Considering a Job Change? Here’s Must-read Advice from 3 Top Data Science Leaders & Innovators

Domino Data Lab

If you’re working in data science and are feeling like making a job change, here are some things top data science innovators say to consider as you look for a new opportunity or plan your next career move. Their career advice–and much more–is captured in the new ebook, The Data Science Innovator’s Playbook , from Domino Data Lab.

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Using Docker to Create a Cassandra Cluster

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the Big Data space, companies like Amazon, Twitter, Facebook, Google, etc., collect terabytes and petabytes of user data that must be handled efficiently. It is seen that RDBMS(Relational DataBase Management System) does not offer an optimal solution for handling huge volumes […].

Big Data 327
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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Cropin, an agritech startup backed by the Bill and Melinda Gates Foundation, on Tuesday said that it was launching its industry cloud for agriculture, built on Amazon Web Services (AWS). Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs.

B2B 105
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

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.