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 356
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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 130
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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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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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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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 329
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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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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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.

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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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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.