Wed.Jul 27, 2022

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Eight Considerations When Choosing a Data Store for Data Science

Domino Data Lab

Selecting the right technology that enables data scientists to focus on data science and not IT infrastructure will help enterprises reap the benefits of their investments in data science and machine learning.

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Apache Flume Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage. It has a simplistic and adaptable […].

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KDnuggets News, July 27: The AIoT Revolution: How AI and IoT Are Transforming Our World • Introduction to Hill Climbing Algorithm

KDnuggets

Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI.

IoT 124
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Scaling- Transformers, Laws and Challenges

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The other day, I was reading “Natural Language Processing with Transformers” a book authored by Lewis Tunstall, Leandro von Werra, and Thomas Wolf. In it, I came across Scaling laws and challenges associated with scaling Transformer models. This topic also included excerpts […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Is Domain Knowledge Important for Machine Learning?

KDnuggets

If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.

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Interactive Data Visualization using rbokeh

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data Visualization is used to present the insights in a given dataset. With meaningful and eye-catching charts, it becomes easier to communicate data analysis findings. Several charts are available for specific purposes, like bar charts to present categorical distribution, line charts to […].

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Web 3.0- Privacy, Ethics and Other Moral Aspects

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The third generation of the internet, the semantic web, and the decentralized internet all refer to the same thing. Web 3.0 links data or objects with highly organized semantic relationships instead of linking information or publications for people and computers to read […].

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Why Upskilling in Data Vis Matters (& How to Get Started)

KDnuggets

How do you condense the information you collect and present it to decision-makers in a clear, concise, and memorable way? This August, Noah Iliinsky will be opening up an intimate cohort and presenting an online course, Effective and Efficient Data Visualization.

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5 Setmore Alternatives that Use Big Data to Manage Appointments

Smart Data Collective

Big data technology has helped businesses improve efficiency in many important ways. Many companies are using big data to streamline many different aspects of their business. They use data analytics tools to improve financial management, One of the ways that many companies are using big data is to improve the way that they manage appointments. They can use data-driven appointment management tools to make this process easier than ever.

Big Data 110
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Responsible AI Needs Strong Advocates: Meet Dataiker Triveni Gandhi

Dataiku

It takes a village, or more accurately a diverse group of brilliant advocates and experts to develop a strong approach to governed and safe AI. At Dataiku, we’re lucky enough to have such people in our company, and Triveni Gandhi, Data Scientist and Responsible AI Lead, is one of them. Triveni has recently won the 2022 VentureBeat Women in AI Award in the Responsibility and Ethics of AI category.

IT 105
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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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Best Practices for Creating Domain-Specific AI Models

KDnuggets

Here are some best practices and techniques for domain-specific model adaptation that worked for us time and again.

Modeling 130
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How a CIO’s approach to cloud, AI and ML is transforming Nigeria’s Dangote Industries

CIO Business Intelligence

Prasanna Burri began his career as a mechanical engineer in India but had a secret passion for IT. His endeavour to get into the technology space led him to learn about enterprise application platforms and he eventually started his ERP career at IBM. Later he joined SAP Labs in the US where he was immersed in product management for cloud technology.

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AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

Today, most enterprises use services from more than one Cloud Service Provider (CSP). Getting operational visibility across all vendors is a common pain point for clients. Further, modern architecture such as a microservices architecture introduces additional operational complexity. Figure 1 Hybrid Multicloud and Complexity Evolution. Traditionally this calls for more manpower.

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Qu’est-ce que le leadership transformationnel? Un style de gestion pour susciter l’innovation

CIO Business Intelligence

Il s’agit d’un style de gestion où les dirigeants encouragent et motivent les employés à innover et apporter eux-mêmes des solutions contribuant à la croissance et au succès futur de l’entreprise. Pour ce faire, ils donnent l’exemple au niveau de la direction, par le biais d’une culture d’entreprise forte, suscitant la participation et l’autonomie des employés.

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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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Autoscaling Deployment with MLOps

DataRobot Blog

Investing in AI/ML is no longer an option but is critical for organizations to remain competitive. However, machine learning utilization is often unpredictable, which makes scaling sometimes a huge challenge. Many engineering teams don’t pay the necessary attention to it. The main reason is that they don’t have a clear plan to scale things up from the beginning.

Metrics 52
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What the Rise of Data Science in Insurance Says About the Profession–and How It’s Changing

Domino Data Lab

How do you build a data science capability into a powerful force for making decisions about virtually all facets of your business? And how do you recruit, train, organize, and retrain members of your team, in a field where competition for talent is intense and growing? These are just a couple of the questions that Glenn Hofmann, chief analytics officer at New York Life Insurance Company, has confronted and mastered in his tenure there.

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4 Ways for Data-Driven Startups to Find Electronics Online

Smart Data Collective

Are you planning on running a startup that relies heavily on data analytics technology ? This is a smart decision. A report by Entrepreneur shows that companies that use big data have 8% higher profits. They also cut expenses by an average of 10%. There are tons of great benefits of using big data to run your company. You can improve marketing strategies with big data , improve employee productivity, meet compliance targets and track trends more easily.

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Why Flexibility Is Driving the Future of Business Success

CIO Business Intelligence

During the past few years, business leaders experienced a crash course of invaluable lessons. While there was plenty to learn throughout the pandemic, perhaps the most important takeaway was the value of being agile and flexible in the face of fast-moving changes. The businesses with the resilience to roll with the punches have fared measurably better than those lacking a fast-acting ability to protect operations, technology, and employees from crisis and chaos.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Bridging the Gap Between Oracle Operational Reporting and Analytics with Angles for Oracle ERP

Jet Global

As Business Intelligence (BI) tools, data warehousing solutions, and enterprise data and application landscapes have advanced, it’s worth taking the time to rethink that old model, starting with the dichotomy between operational reporting (OR) and strategic analytics. There is a clear difference between operational reporting and BI, but they can and should work together.