Sat.Sep 14, 2019 - Fri.Sep 20, 2019

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The Hidden Risk of AI and Big Data

KDnuggets

With recent advances in AI being enabled through access to so much “Big Data” and cheap computing power, there is incredible momentum in the field. Can big data really deliver on all this hype, and what can go wrong?

Big Data 106
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3 reasons mobile business intelligence apps have minimal adoption in your business (and how to fix it)

Corinium

Instant noodles and the on-demand life. It’s no secret that, despite the huge movement toward sustainable living, we just can’t live without some things being instant. One such crutch for students worldwide and most of Asia’s young adult population (also the entire American prison system) are the ubiquitous instant noodles. 100 billion servings are eaten every year.

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4 Unique Methods to Optimize your Python Code for Data Science

Analytics Vidhya

Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya.

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Business Process Can Make or Break Data Governance

erwin

Data governance isn’t a one-off project with a defined endpoint. It’s an on-going initiative that requires active engagement from executives and business leaders. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Which Data Science Skills are core and which are hot/emerging ones?

KDnuggets

We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.

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Strategy is Unleashing the Potential of Enterprise Data

Corinium

Enterprises across the globe are waking up to the fact that data is an asset that requires its own strategy. Those that treat it as such are now seeing substantial returns on their investments.

Strategy 199

More Trending

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Big Data Paves The Road For A New Generation Of Investing Apps

Smart Data Collective

Big data is changing the financial industry in a truly astounding way. Countless financial professionals are looking towards machine learning and other new tools to improve the quality of the services that they offer to their customers. K. Hussain of Atos Spain published a white paper on the growing relevance of big data in the finance and insurance verticals.

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BERT, RoBERTa, DistilBERT, XLNet: Which one to use?

KDnuggets

Lately, varying improvements over BERT have been shown — and here I will contrast the main similarities and differences so you can choose which one to use in your research or application.

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The Biggest Challenges for a Chief Customer Officer

Corinium

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9 Powerful Tips and Tricks for Working with Image Data using skimage in Python

Analytics Vidhya

Overview New to working with image data? The skimage module in Python is an ideal starting point Learn 8 simple yet powerful tricks for. The post 9 Powerful Tips and Tricks for Working with Image Data using skimage in Python appeared first on Analytics Vidhya.

Analytics 279
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Being human in the age of AI

IBM Big Data Hub

Will AI take over the world? Or, more to the point, will it take over the humankind? It seems to have invaded the public consciousness, sparking concerns that AI will take away jobs. This fear is driven in part by companies using AI to deliver cost savings across their businesses, including areas related to labor.

IT 89
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Explore the world of Bioinformatics with Machine Learning

KDnuggets

The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.

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The Biggest Challenges for a Chief Customer Officer (Volt Bank)

Corinium

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The Unfolding of the Data-Centric Paradigm – Part 1

TDAN

There is a movement to upend traditional thinking about information systems by putting data and meaning at the center of strategy, architecture, and system development sequencing. It is the most recent of a series of data-centric waves which, over several decades, have attempted to remedy the entrenched application-centric paradigm. Past waves have receded, largely because […].

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Machine Learning Is The Latest Stage Of Text To Speech Technology

Smart Data Collective

Machine learning has played a very important role in the development of technology that has a large impact on our everyday lives. However, machine learning is also influencing the direction of technology that is not as commonplace. Text to speech technology is a prime example. Text to speech technology predates machine learning by over a century. However, machine learning has made the technology more reliable than ever.

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My journey path from a Software Engineer to BI Specialist to a Data Scientist

KDnuggets

The career path of the Data Scientist remains a hot target for many with its continuing high demand. Becoming one requires developing a broad set of skills including statistics, programming, and even business acumen. Learn more about one person's experience making this journey, and discover the many resources available to help you find your way into a world of data science.

Software 119
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Join insightsoftware + Jet Global at Directions EMEA 2019!

Jet Global

Directions EMEA is the biggest autumn event for Microsoft Partners and this year’s show is set to be bigger than ever – with 2,200 attendees from Partners and ISV companies meeting in Vienna, Austria October 9th – 11th. A true “Who’s Who” of the Microsoft Partner channel will be at this event, and we are excited to be there again this year, now as insightsoftware and Jet Global together!

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Conceptual Modeling Requires Conceptual and Critical Thinking

TDAN

I am surprised to see a lot of people jumping straight into logical or even physical modeling and skipping conceptual modeling. Don’t they understand the value of conceptual modeling? Don’t they understand the difference between the various levels of modeling? Or do they have cognitive limitations? In this column, I will elaborate on the importance […].

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Nuts About Data Book Review

Data Science 101

Just released this week, Nuts about Data , is a fun introductory book about the data science process. Meor Amer tells a witty story about squirrels, mining for nuts, teamwork, and survival. It brings together the entire data science lifecycle from asking questions to final storytelling. It is a quick read and really fun. I highly recommend it and hope you enjoy it.

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How Bad is Multicollinearity?

KDnuggets

For some people anything below 60% is acceptable and for certain others, even a correlation of 30% to 40% is considered too high because it one variable may just end up exaggerating the performance of the model or completely messing up parameter estimates.

Modeling 103
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How Up-And-Coming Music Companies Use Big Data For Optimal Results

Smart Data Collective

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever. Darren Heitner wrote a great article on Inc. About the way that big data is revolutionizing the industry.

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Data is Risky Business: Group Think and the Man Behind the Curtain

TDAN

There have been a couple of different things converged in my media feeds that highlight a key issue that all data management professionals and leaders in information management need to be conscious of – Group Think. This manifests itself in at least two ways in the following examples I’ll use to illustrate my points. Each […].

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Why 89% of Companies are Prioritizing Data Fluency

DataCamp

Learn why data fluency is important to achieve better business results and what it takes to get there.

IT 102
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The 5 Sampling Algorithms every Data Scientist need to know

KDnuggets

Algorithms are at the core of data science and sampling is a critical technical that can make or break a project. Learn more about the most common sampling techniques used, so you can select the best approach while working with your data.

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AI Paves The Road For Incredible Changes In The Gaming Industry

Smart Data Collective

I recently read a great post from The Verge on the impact of AI on the video gaming industry. Author Nick Statt made a great point about the evolution of AI in the industry. Pratt pointed out that AI has been a factor in the video game industry since the very beginning. Some of the AI tools that we see today resemble those in the 1980 game Rogue. Of course, AI has improved dramatically over the last 40 years.

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Business Glossary and Metadata: Small Teams Data Governance

TDAN

In my last article I suggested that many organizations have approached Data Governance incorrectly using only centralize data governance teams and that approach is not working for many. Large organizations generally need a decentralized approach, to engage resources in all functional units (my definition of “a village”) to Operationalize data governance across many functional business […].

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Inaccessible

Perceptual Edge

In our efforts to make knowledge accessible to everyone, if we’re not careful, good intentions can cause us to blunder into useless attempts that benefit no one. I was painfully reminded of this recently when I received a request from a university for an electronic version of my book Show Me the Numbers to accommodate the needs of a student who is blind.

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Scikit-Learn & More for Synthetic Dataset Generation for Machine Learning

KDnuggets

While mature algorithms and extensive open-source libraries are widely available for machine learning practitioners, sufficient data to apply these techniques remains a core challenge. Discover how to leverage scikit-learn and other tools to generate synthetic data appropriate for optimizing and fine-tuning your models.

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5 Benefits Of Machine Learning In Enterprise Electrical Systems

Smart Data Collective

Machine learning is creating pivotal change in the energy industry. Towards Data Science wrote about the changes that machine learning is bringing to this field. They pointed out that Bill Gates wrote a letter in 2017 to graduate students across the country, which stated that machine learning is going to be the biggest disruptor in this industry. You need to consider the benefits of using an electrical system that relies on machine learning technology.

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Convert From Big Data to Smart Data

TDAN

Did you know that 90% of all data has been generated over the last 2 years? Big Data has been an important topic in the marketing scene for quite some time. It has been a major challenge for Chief Marketing Officers (CMOs) because it’s not easy to organize and extract useful insights from massive amounts of […].

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.