Wed.Sep 21, 2022

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How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].

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KDnuggets News, September 21: 7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course

KDnuggets

7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course • Top 5 Bookmarks Every Data Analyst Should Have • 7 Steps to Mastering Python for Data Science • 5 Concepts You Should Know About Gradient Descent and Cost Function.

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Interview Questions on NLP Fundamentals

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As everyone knows, natural language processing is one of the most competitive and hot fields in today’s global tech sector. Candidates with good Natural Language Processing skills are sought after by all the large corporations and growing start-ups. Natural language processing is […].

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Build a Text-to-Speech Converter with Python in 5 Minutes

KDnuggets

I have chosen to go through how to build a text-to-speech converter in Python, not only is it simple, but it is also fun and interactive. I will show you two ways you can do it with Python.

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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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Key Criteria When Hiring AI Software Development Agency

Smart Data Collective

There are a number of amazing AI companies. You may want to create an equally successful one. However, you won’t be able to do this without the best experts at your side. There are a lot of factors that you have to take into consideration when hiring a company to help you develop AI applications. There is a huge lack of qualified AI developers, as a recent report from ZDNet recently showed.

Software 100
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Driving Innovation Through Data and Analytics

Dataiku

When we think about innovation, most of us default to innovation on product/servicing offerings. While offering innovation is very much part of the innovation process, it’s not the only type of innovation, and some might even argue it’s the easiest for competitors to copy. And regardless of what we think innovation is, many of us may wonder how to innovate beyond just relying on the instincts of talented individuals.

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Traits AI Startups Seek When Hiring New Employees

Smart Data Collective

Are you launching a new AI startup? You will discover that there are a number of opportunities and challenges of creating a company that develops new AI algorithms to solve problems. The demand for AI technology has surged in recent years. One analysis indicates that 90% of companies have made investments in AI and 37% actively deploy it. AI startups have a burgeoning market that they can serve.

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IMPACT 2022: The Data Observability Summit, on Oct. 25-26

KDnuggets

In just one month, IMPACT 2022 will bring together the most insightful minds in data. Register for The Data Observability Summit now!

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The Role of Data Governance in Data Management

TDAN

Both data governance and data management workflows are critical to ensuring the security and control of an organization’s most valuable asset— data. An experienced IT specialist understands the differences between the two, but there can still be confusion at a more granular level. Is the positioning of data governance vs. data management correct? In this […].

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Adding Analytics to Tally ERP Can Improve ROI!

Smarten

How Can I Improve ROI for Tally ERP? It’s Simple! Add Analytics! Surveys reveal that the top three vertical industries currently using Tally ERP include Manufacturing, Retail and Real Estate. No matter what your business industry is, if you are using Tally ERP, you want to get the most out of your investment. As with any software solution, IT teams and executives constantly look for the tools that will give them the most benefit and value for the least investment.

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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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Data is Risky Business: It Takes a Village to Raise a Datum

TDAN

Since my last contribution to TDAN.com, two activities I’ve been involved in have made me think about what lies beneath the challenges we face in data today, what the root causes might be, and what routes to solutions might be needed. On one hand, I was engaged by an international organisation to advise on the […].

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Handling Large Volumes of Data in Power BI

BizAcuity

Introduction. Data fuels today’s business and Microsoft’s Power BI tool helps you make sense of that data. Power BI is a suite of business analytics tools to analyze data and share insights. There are two licensing options for Power BI: Power BI Pro and Power BI Premium. Among other differences between the two options, data storage is a main factor – depending on the data requirement, you can choose which option of the tool to use.

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What Does the Future of Self-Service Analytics Look Like?

Dataiku

Business intelligence (BI) first came on the scene in the early to mid 1990s, helping organizations deliver more standardized enterprise data analysis capabilities. Then, the rise of self-service BI came in the late 1990s and early 2000s when there was an appetite for these insights beyond just decision-makers and executives. Since then, there have been various waves of self-service analytics that were promised and reinvented and the notion just keeps coming back to the surface.

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How Hybrid Cloud Security Contributes to Data Protection

TDAN

The possibility for businesses to achieve efficiency, flexibility, and scalability is greatly enhanced by the fact that cloud computing technology is now available to all types of enterprises and marketplaces. Many large businesses are still worried about the effectiveness of cloud computing on its own, and whether it can really replace their whole IT infrastructure. […].

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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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Moving from the Messy Middle to Digital Finance Transformation

Paris Technologies

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Domain-Driven Development: Part 4

TDAN

Data Mesh and Data as a Product In the first article, I introduced and explained the approach to application development called Domain-Driven Development (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous […].

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How The CIO Can Become The CMO’s Best Ally In The Use Of Data

CIO Business Intelligence

The role of the CMO is more invested in technology than ever, and CMOs have no choice but to engage with the CIO and align business and tech objectives. Key to the success between CMO and CIO is how both roles can collaborate around data. Related reading: How the CMO can leverage the data of retail networks to deliver better outcomes for their organisations.

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Data’s Gender Gap: Healthcare’s Data Gap Is Still Open

TDAN

A note from the author: In the last iteration of this column, I noted that it would be the end of the ongoing feature. However, upon reflection, there is so much more to explore related to gender and other inequities in data and information systems. So, we’re back, but we might look a little different. […].

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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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Moving beyond spreadsheets with IBM Planning Analytics

IBM Big Data Hub

My journey with IBM Planning Analytics started with an early morning phone call to tell me that a member of my team had died, suddenly and unexpectedly. Not only was his loss a personal tragedy, it was a tragedy for the whole organization. Our teams relied heavily on his decades of expertise to help us plan and forecast strategically for the future.

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AI Meets Data Access Governance

TDAN

Data is the viral sensation crashing the data governance capacity. Use of data is disrupting industries, economies, even some government elections. Unlocking the secrets data holds is the number one challenge in every single company regardless of the size or industry. However, organizations are facing a challenge: having the framework is key. And yet, execution, […].