CIO Business Intelligence

SEPTEMBER 8, 2022

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

Machine Learning 134

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Analytics Vidhya

SEPTEMBER 6, 2022

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.

Analytics 343

Analytics Marketing Visualization IT 343

KDnuggets

SEPTEMBER 5, 2022

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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datapine

SEPTEMBER 6, 2022

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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Dashboards Reporting Metrics ROI 177

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Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.

Technology

Smart Data Collective

SEPTEMBER 9, 2022

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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Data-driven Big Data Optimization ROI 136

Analytics Vidhya

SEPTEMBER 4, 2022

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. […].

Data Science 353

Data Science Analytics Publishing Big Data 353

KDnuggets

SEPTEMBER 6, 2022

Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.

Visualization 122

Visualization Metrics Modeling Machine Learning 122

Smart Data Collective

SEPTEMBER 7, 2022

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.

Data mining 132

Data mining Strategy Analytics Big Data 132

Analytics Vidhya

SEPTEMBER 6, 2022

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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Data Science Analytics Machine Learning 326

CIO Business Intelligence

SEPTEMBER 8, 2022

Government organizations have the longest average buying cycle for technology when compared to other sectors, with procurement laws injecting complexity into the procurement process, according to a Gartner report. The report, which is based on a survey of 1,120 executives with the inclusion of 79 public sector employees across the US, Canada, France, Germany, the UK, Australia and Singapore, showed that the average buying cycle for government entities is 22 months.

Technology 123

Technology Reporting Risk IT 123

Advertiser: ZoomInfo

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

Marketing

Cloudera

SEPTEMBER 7, 2022

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 116

Big Data Enterprise Software Digital Transformation 116

Smart Data Collective

SEPTEMBER 5, 2022

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.

Data Science 127

Data Science Big Data Data Analytics Software 127

Analytics Vidhya

SEPTEMBER 3, 2022

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.

Machine Learning 318

Machine Learning Data Science Analytics Publishing 318

CIO Business Intelligence

SEPTEMBER 9, 2022

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.

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Testing Machine Learning Business Intelligence Big Data 122

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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

Analytics

KDnuggets

SEPTEMBER 7, 2022

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

Machine Learning 114

Machine Learning 114

Smart Data Collective

SEPTEMBER 9, 2022

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.

IT 107

IT Cost-Benefit Software Optimization 107

Analytics Vidhya

SEPTEMBER 3, 2022

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 […].

Data Science 299

Data Science IT Analytics Publishing 299

CIO Business Intelligence

SEPTEMBER 6, 2022

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 108

IT Enterprise Cost-Benefit Technology 108

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A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

Data-driven

Cloudera

SEPTEMBER 9, 2022

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 106

Metadata Data-driven Machine Learning Data Science 106

KDnuggets

SEPTEMBER 7, 2022

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.

Modeling 105

Modeling Optimization Marketing IT 105

Analytics Vidhya

SEPTEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Applications in Azure run on compute services, which determine how they are performed and allow cloud-based applications to be run on-demand. Resources are available on request within a few minutes or seconds, and you only pay for what you use. We will […]. The post Compute Services Available on Microsoft Azure appeared first on Analytics Vidhya.

Data Science 287

Data Science Analytics Publishing 287

CIO Business Intelligence

SEPTEMBER 8, 2022

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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Data-driven Cost-Benefit Data Collection Data Lake 105

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.

Enterprise

Smart Data Collective

SEPTEMBER 8, 2022

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 104

Analytics Optimization Analytics Technologies Marketing 104

KDnuggets

SEPTEMBER 5, 2022

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

Data Science 145

Data Science 145

Analytics Vidhya

SEPTEMBER 3, 2022

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 […].

Data Science 284

Data Science Big Data Analytics Optimization 284

CIO Business Intelligence

SEPTEMBER 8, 2022

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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Data-driven Machine Learning Data Warehouse Cost-Benefit 95

Advertiser: ZoomInfo

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data. Whether you need to improve lead response times, boost adoption of core tools, improve lead qualification, or target and automate your GTM motions, you’ll find examples of how revenue teams are solving some of the toughest problems in modern business.

Management

Smart Data Collective

SEPTEMBER 5, 2022

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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Optimization Technology Interactive Metrics 104

Domino Data Lab

SEPTEMBER 7, 2022

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.

Data Science 98

Data Science Enterprise 98

Analytics Vidhya

SEPTEMBER 3, 2022

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 […].

Data Science 284

Data Science Analytics Publishing Modeling 284

BizAcuity

SEPTEMBER 5, 2022

Introduction. It is no surprise that there are way more game developers in the iGaming industry than there are operators. As a result, the selling process for Game Studios is more complex now than ever. The growing popularity of online gaming, and the subsequent demand for engaging content are promising but not making it any easier for the Game Studios.

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Visualization Analytics Data Warehouse Data-driven 98

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When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond. This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards.

Analytics