Tue.Sep 05, 2023

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Unlock the Power of GenAI LLMs Right on Your Local Machine!

Analytics Vidhya

Introduction Since the release of GenAI LLMs, we have started using them in one way or another. The most common way is through websites like the OpenAI website to use ChatGPT or Large Language Models via APIs like OpenAI’s GPT3.5 API, Google’s PaLM API, or through other websites like Hugging Face, Perplexity.ai, which allow us […] The post Unlock the Power of GenAI LLMs Right on Your Local Machine!

Modeling 363
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The 5 Stages of Your Data Analytics Journey

TDAN

Harnessing the power of data has become critical in today’s digital age when information is abundant and decision-making is critical in many aspects of business. Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise.

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Python in Excel: Opening the Door to Advanced Data Analytics

Analytics Vidhya

Introduction Microsoft announced the integration of Python programming language into Excel, marking a significant advancement in the field. The foundational data management, analysis, and visualization tool, Microsoft Excel, has taken a significant step forward in its analytical capabilities by incorporating Python functionality. This integration marks a significant milestone in data analysis, machine learning, predictive analytics, […] The post Python in Excel: Opening the Door to Advance

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6 signs an IT manager is struggling — and how to help

CIO Business Intelligence

IT managers increasingly find themselves oversubscribed, challenged, and in many cases floundering, and it’s little wonder why. Pressured to do more with less, faster, in flatter organizational structures, IT middle managers serve as a company catchall, with too much time spent on lower-value tasks such as administrative work and planning rather than high-value work such as actually managing and executing plans, according to a recent survey from McKinsey.

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Signal-Based Selling: How to Leverage 4 Key Buying Signals

As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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How to Become a Research Analyst? Description, Skills, and Salary

Analytics Vidhya

Introduction A research analyst plays a pivotal role in organizations across various industries, offering insights that drive informed decisions. They are the data detectives, uncovering valuable information and transforming it into actionable intelligence. But how can you embark on this exciting career path? This comprehensive guide will walk you through the journey to becoming a […] The post How to Become a Research Analyst?

Analytics 342
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Estée Lauder applies AI, AR for cosmetics accessibility

CIO Business Intelligence

How can we help visually impaired individuals use our products and feel more self-reliant and confident? That’s the question The Estée Lauder Companies (ELC) set out to answer in 2022 with the help of AI and augmented reality (AR). The result is the Voice-enabled Makeup Assistant (VMA), now fully launched in the UK and US, and soon to debut worldwide.

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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

This is part four in a five-part series on mainframe modernization. The secret to mainstreaming the mainframe into today’s modern, cloud-centric IT environments is to make the experience of working with the mainframe like the experience of working off the mainframe—especially the developer experience (DX). Historically, working on the mainframe was an entirely different experience from the distributed world.

Software 120
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How To Become A Sports Analyst?

Analytics Vidhya

Introduction In the ever-evolving world of sports, the line between victory and defeat is often measured in fractions of a second, inches, or points. What’s the secret behind those game-winning plays, those seemingly clairvoyant coaching decisions, or those exceptional athletes who consistently outperform their peers? The answer lies in the realm of sports analysis, where […] The post How To Become A Sports Analyst?

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The ‘IT Business Office’: Doing IT’s admin work right

CIO Business Intelligence

Among the unenlightened, running IT “like a business” is supposed to be best practice, delivering goods and services to internal customers who IT must fully satisfy, and who then pay for what IT delivers to them through the auspices of a charge-back system. As has been pointed out in this space numerous times (for example, here ), this is a terrible idea.

IT 119
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Data Cleaning with Pandas

KDnuggets

This step-by-step tutorial is for beginners to guide them through the process of data cleaning and preprocessing using the powerful Pandas library.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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3 hard truths about the multi?cloud journey

CIO Business Intelligence

Businesses are getting smarter, faster and more resilient in the cloud. But it doesn’t come easy. On the Futurum Tech Webcast, Chief Analyst Daniel Newman for Futurum Research (an analyst firm focused on technology, digital innovation and market disruption) talks with VMware leaders about the surprising challenges of multi-cloud. Here are three takeaways from their conversations. 1.

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5 Portfolio Projects for Final Year Data Science Students

KDnuggets

From cleaning data to wowing recruiters - this blog shares 5 killer data science projects to launch your data science career and get hired!

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Orro: Delivering a sustainable future enabled by the cloud

CIO Business Intelligence

In Australia, Orro is synonymous with ironclad software-defined infrastructure and sovereign cloud services that enable new ways of working, from fully managed cloud-native applications that accelerate the pace of business, to advanced collaboration tools that deliver on the promise of remote work. It is a pedigree that aligns well with the company’s ambitious call to action: “Security Connected Everything™.

Risk 105
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Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave

KDnuggets

Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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How to get the most out of this transformative moment for business technology

CIO Business Intelligence

We are living through a unique moment where two transformative technologies for business are converging. On one side, there is the awesome power of the cloud, which allows businesses to break down silos so their teams can access the data they need to innovate faster and in a more secure environment. On the other side is generative business AI, which can do everything from generating content and code to automating time-consuming tasks and discovering new insights.

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Strategic Marketing Analytics: CMO Dashboards That Rock!

Occam's Razor

An extraordinary amount of time, effort, $$$ are spent on building dashboards/scorecards for CMOs… Yet, the end result, nearly always, is a useless data puke. It turns out boiling the ocean is hard. To build an effective big picture scorecard for the CMO, that is not data pukey , there are three crucial challenges that have to be solved: Represent the full span of the CMO’s world.

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Controlling cloud chaos: How to realign IT with the business

CIO Business Intelligence

The cloud is undoubtedly transformative for both IT and businesses, but the business has often been left out of the process when it comes to cloud technology decisions. In a traditional environment, everyone must collaborate on building servers, storage, and networking equipment. For instance, if IT requires more processing or storage, the team needs to initiate a capital expenditure to purchase additional hardware.

IT 98
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Data as a Product: How to Increase the Efficiency of Using Data and Become Data Driven

Dataiku

In 1776, an instrument maker from the University of Glasgow named James Watt developed a steam engine that was four times more efficient than its predecessor. The engine used one-fourth as much coal to do the same amount of work. Some thought that the demand for coal would drop but the opposite happened.

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Optimizing The Modern Developer Experience with Coder

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.

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Managing your cloud ecosystems: Upgrading your cluster to a new version

IBM Big Data Hub

Planning and managing your cloud ecosystem and environments is critical for reducing production downtime and maintaining a functioning workload. In the “Managing your cloud ecosystems” blog series, we cover different strategies for ensuring that your setup functions smoothly with minimal downtime. In the second blog of the series, we’re discussing best practices for upgrading your clusters to newer versions.

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Data Driven Customer Retention Strategies

TDAN

Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates.

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5 types of chatbot and how to choose the right one for your business

IBM Big Data Hub

Now, more than ever, different types of chatbot technology plays an increasingly prevalent role in our lives, from how we receive customer support or decide to purchase a product to how we handle our routine tasks. Many of us have interacted with these chatbots or virtual assistants on our phones or through devices in our homes—such as Apple’s Siri, Amazon Alexa and Google Assistant.

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The Data-Centric Revolution: “RDF is Too Hard”

TDAN

We hear this a lot. We hear it from very smart people. Just the other day we heard someone say they had tried RDF twice at previous companies and it failed both times. (RDF stands for Resource Description Framework,[1] which is an open standard underlying many graph databases).

IT 52
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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Top tips to safeguard your data

Data Insight

In an age where data breaches and cyber-attacks are more common than we'd like, it's crucial for every company to ask itself: "Are we truly ready?" The threats to your data and organisations reputation are increasing daily, with data breaches happening to even the most tech savvy companies. However, protecting your organisation's precious data isn't just about focusing on building a digital fortress; it's about creating a comprehensive strategy that covers all the bases.

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Data Governance to Improve Business Intelligence

TDAN

Data is the lifeblood of modern organizations, and as such, it must be carefully managed and protected. Whether it’s financial data, personal health information, or customer data, organizations that generate and manage data must implement a comprehensive data governance strategy.

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Transforming financial transparency and trust through integrated resource planning

IBM Big Data Hub

Athabasca University (AU), Canada’s Open University, is dedicated to removing barriers that restrict access and success within university-level study and increasing equality of educational opportunities for adult learners worldwide. To support their mission, AU defined their “Imagine” Strategy, which was a five-year plan outlining strategic priority outcomes for the institution.

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Data is Risky Business: A Wicked Problem This Way Comes

TDAN

A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI.

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The Cloud Development Environment Adoption Report

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.

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Data Product Success With Non-Invasive Data Governance

TDAN

The role of data products has become pivotal, driving organizations towards insightful decision-making and competitive advantage. However, ensuring the achievement of these data products demands the strategic integration of Non-Invasive Data Governance (NIDG). This approach fortifies data quality, security, compliance, and collaboration while expertly navigating user queries and concerns.