Tue.Aug 15, 2023

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The next generation of developer productivity

O'Reilly on Data

To follow up on our previous survey about low-code and no-code tools, we decided to run another short survey about tools specifically for software developers—including, but not limited to, GitHub Copilot and ChatGPT. We’re interested in how “developer enablement” tools of all sorts are changing the workplace. Our survey 1 showed that while these tools increased productivity, they aren’t without their costs.

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Top Posts August 7-13: Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever

KDnuggets

Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • Best Python Tools for Building Generative AI Applications Cheat Sheet • 3 Ways to Access GPT-4 for Free • 5 Python Packages For Geospatial Data Analysis • Time Series Analysis: ARIMA Models in Python

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Use Amazon Athena to query data stored in Google Cloud Platform

AWS Big Data

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider. Customers who use multi-cloud environments often face challenges in data access and compatibility that can create blockades and slow down productivity.

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Celebrating Devart’s 26th Birthday with an Exclusive 20% Discount on Data Connectivity Tools!

KDnuggets

Devart is excited to extend a special offer to its valued customers on its 26th birthday. From August 15th to August 31st, 2023, you can dive into a world of seamless data connectivity with an incredible 20% discount on their top-notch Data Connectivity tools.

IT 85
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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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Measuring the impact: Unveiling the savings realized in cloud cost optimization 

IBM Big Data Hub

Imagine embarking on a weight-loss journey without having a scale—it’s like sailing through uncharted waters without a compass. The scale serves as your trusted navigator, providing tangible metrics and keeping you on track. Similarly, comprehending the savings realized in a cloud-cost-optimization journey offers valuable insights into the impact of your efforts.

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Learn Data Cleaning and Preprocessing for Data Science with This Free eBook

KDnuggets

In this free ebook, readers will learn how to employ data cleaning and preprocessing for data science using the Python ecosystem.

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Top 6 Tools to Improve Your Productivity on Snowflake

KDnuggets

The post reviews 6 top tools for improving productivity with Snowflake for data preparation, visualization, integration, BI and governance.

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Retail OTB (Open to Buy) Planning with PowerExcel

Paris Technologies

OTB is a forward-looking metric based on future projections. In retail, it involves assessing current stock and estimating the exact amount of stock needed to achieve a predetermined target. It's a blend of sales forecasting and stock planning, requiring accurate data and meticulous calculations. The post Retail OTB (Open to Buy) Planning with PowerExcel first appeared on PARIS Tech.

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Introducing Superalignment by OpenAI

KDnuggets

OpenAI’s new dedicated team to steer and control AI systems, to look after the people of the future against superintelligence.

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Predictive Maintenance in Industry 4.0

TDAN

There’s no denying it. The digital revolution we’re living through has fundamentally changed how business is done. So much so that digital platforms and applications now drive enterprises of all kinds. Some like to call this unabashed modern digital age the ‘fourth industrial revolution’ — or, if you prefer, ‘Industry 4.0’.

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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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The Pitfalls of Vanity Metrics

Data Insight

In today's digital age, marketing professionals are armed with a variety of data metrics that offer valuable insights into their campaign performance and strategies. These metrics play a vital role in measuring success, but not all are created equal. Enter vanity metrics – (or what we like to call outcome metrics) , data points that may appear impressive at first glance but fail to provide meaningful insights or drive actionable decisions.

Metrics 52
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How to Find the Right Tweener for Your Organization

TDAN

Recently, I attended the CDIO Conference in Boston where I had the pleasure of hearing the two Toms (Tom Redman and Tom Davenport) — gurus of data — introduce the concept of tweeners to the data management world.

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Decoding Data Quality Woes: How to Embrace Love Over Hate in Data Quality

Dataiku

Let's face the reality: Data quality , despite its paramount importance, is often unloved and undervalued in many organizations. It is seen as excessively technical, demands a great deal of tedious effort and time to manage and, ultimately, leads to a lack of enthusiasm for taking up this crucial responsibility.

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Data Speaks for Itself: Placing Data Governance in Context

TDAN

Yes, let’s talk about data governance, that thing we love to hate. I just attended the 17th Annual Chief Data Officer and Information Quality Symposium in July, and there, I heard many creative suggestions for renaming data governance.

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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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Revisiting Start Small, Stay Small in 2023 (Chapter 1)

Data Science and Beyond

A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

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Eyes on Data: Importance of Data Governance When Implementing AI/ML

TDAN

Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLM) have turned the world on its head. From finance to manufacturing to pharmaceuticals to retail, every industry is jumping on the AI/ML bandwagon. And for good reason. AI/ML has the ability to improve efficiency, drive automation, and shorten delivery cycles.

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CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

We’re past the point of inflection: Information technology no longer merely supports or even drives an organization’s strategy; it has the power to transform and expand organizational missions and open up new strategic possibilities. That’s the message at the core of this year’s CIO 100 Awards for IT innovation and leadership , which recognize standout technology projects that meet such objectives.

IT 98
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Data Catalog Role in Data Transformation and Governance

TDAN

Nearly every data leader I talk to is in the midst of a data transformation. And it’s no surprise, really. As businesses look for ways to increase sales, improve customer experience, and stay ahead of the competition, they are realizing that data is their competitive advantage and the key to achieving their goals.

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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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What enterprise software vendors are doing with generative AI

CIO Business Intelligence

2023 has been a break-out year for generative AI technology, as tools such as ChatGPT graduated from lab curiosity to household name. But CIOs are cautiously evaluating how to safely deploy generative AI in the enterprise, and what guard-rails to put around it. Sometimes, though, it sneaks in through the back door as a result of ad-hoc individual or departmental initiatives — or even through the front door, bundled by the vendors of enterprise applications already in widespread use.

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Legos and Building Non-Invasive Data Governance Brick by Brick

TDAN

Anyone who knows me well knows that I like to build models with Legos as a diversion from my “data-ly” life. I was never fond of Legos when I was young, but started my Lego excursion when I saw a bright yellow Lego Ford Mustang kit that I had to have.

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ESM: Delight employees with personalized, accessible digital experiences

CIO Business Intelligence

When organizations think about deploying enterprise service management (ESM), they often focus on gaining efficiencies and increasing productivity. But ESM doesn’t just benefit lines-of-business organizations through process automation — it also improves the quality of digital employee experiences so teams can find the information they need faster (even on their own through self-service), anytime and anywhere, to help improve employee satisfaction and collaboration.

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Suzhou Universal Chain Technology’s digital reshaping with IBM hybrid cloud and AI software

IBM Big Data Hub

Suzhou Universal Chain Technology Company (hereafter referred to as Suzhou Universal Chain) and IBM China recently announced the successful development of Suzhou Universal Chain’s enterprise application integration platform and business process automation management platform using IBM hybrid cloud and AI software. This was achieved after six months of dedicated efforts and laid the foundation for reshaping the company into a more digitally advanced and intelligent enterprise.

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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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Silicon powers democratized networking

CIO Business Intelligence

From home Wi-Fi, to hyperscaler, the ability to access information instantly and to interact immediately with people on the other side of the world is remarkable. Life as we know it today would be very different without high-speed network connectivity. Across the many nodes and links of the connectivity fabric, there’s a good chance a Broadcom chip is processing the data stream that delivers these amazing capabilities.

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Take advantage of AI and use it to make your business better

IBM Big Data Hub

Artificial intelligence (AI) adoption is here. Organizations are no longer asking whether to add AI capabilities, but how they plan to use this quickly emerging technology. In fact, the use of artificial intelligence in business is developing beyond small, use-case specific applications into a paradigm that places AI at the strategic core of business operations.

IT 85
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Debunking observability myths – Part 4: Observability is always expensive

IBM Big Data Hub

In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Part 3: Observability is only relevant and beneficial for large-scale systems or complex architectures In this article, we will focus on the misconception that “observability is always expensive.” We’ll highlight the significance of cost-effective observability solutions.