Mon.Aug 19, 2019

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Manual Coding or Automated Data Integration – What’s the Best Way to Integrate Your Enterprise Data?

KDnuggets

What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.

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10 Powerful Python Tricks for Data Science you Need to Try Today

Analytics Vidhya

Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.

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Deep Learning for NLP: Creating a Chatbot with Keras!

KDnuggets

Learn how to use Keras to build a Recurrent Neural Network and create a Chatbot! Who doesn’t like a friendly-robotic personal assistant?

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Useful Tips To Protect Your Bitcoin From Hackers

Smart Data Collective

Some of the biggest things putting people off getting into Bitcoin and other cryptos is a lack of education on what they are and how they work, as well as their frequent fluctuations in market value. Another is a fear of being hacked and having your Bitcoins stolen. Without a centralized body to fall back on and get your money reimbursed – like what happens with fiat currencies and bank accounts – people are reluctant to try Bitcoin.

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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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Math for Programmers

KDnuggets

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

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A “PRACtical” View of Emerging Risk Management Technologies

John Wheeler

Gartner’s “Hype Cycle for Risk Management, 2019” report was published almost a month ago and reader response has been overwhelmingly positive. In this year’s report, we highlight the need for a “PRACtical” view of risk management technologies to fuel digital business growth. Hype Cycle for Risk Management, 2019 Source: Gartner.

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Urgent Tips To Guard Against New IoT Cybersecurity Threats

Smart Data Collective

Networking technologies have made the world very small in the sense that they have allowed people who are thousands of miles apart to communicate in real-time. But network technologies and gadgets can be dangerous when it comes to cyber espionage. Hacked network equipment could cause losses in the tens and hundreds of US dollars. Botnets that affect poorly protected network devices are particularly dangerous.

IoT 70
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Easing the journey to AI through full-function, untimed trials and streamlined database upgrades

IBM Big Data Hub

Choosing the right data management solutions as the foundation for AI is crucial. Enabling AI optimization and usability is paramount, as is easy scalability to accommodate the increasing amount of data used by AI applications. This is true no matter where you store your data: on-premises, in the cloud, or across hybrid and multi-cloud environments.

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The Incompatible Marriage of Data Visualization and VR

Perceptual Edge

Every once in a while, someone claims that data visualization can be enhanced when viewed in virtual reality (e.g., by wearing a VR headset). Not once, however, has anyone demonstrated any real benefits. If you think about it for a moment, this isn’t surprising. How could viewing a chart in VR possibly work any better than viewing it on a flat screen?

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Lincoln Clean Energy: Director, Asset Performance [Austin, TX]

KDnuggets

Seeking an Asset Performance Director, a role which requires an individual that possesses a strong technical skill set and the ability to communicate findings effectively throughout the organization.

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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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Preparing Your Website for the Holidays

CDW Research Hub

A s e-commerce continues to expand its reach beyond the traditional browser onto connected devices—smartphones, tablets, laptops, etc.—ensuring your business is ready to handle peak season traffic is an inevitable consideration. It is critical to plan appropriately beginning in the July/August timeframe and ensure the right parties are involved—not just your technical team, but other key business stakeholders and partners within your overall digital ecosystem.

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4 Steps to Achieving Wisdom You Can Use at Work Today

Grooper

Increase wisdom by learning how to create knowledge. There is a logical hierarchy for transforming data into wisdom. Understand each step to become not just smarter, but wiser. I’m going to show you the relationship between 4 steps: data, information, knowledge, and wisdom. We’ll use the example of buying software. To make the purchase decision, you go through a process of transforming various inputs from multiple sources into a clear, commonsense judgement.

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Top Stories, Aug 12-18: How to Become More Marketable as a Data Scientist; 12 NLP Researchers, Practitioners & Innovators You Should Be Following

KDnuggets

Also: How to Become More Marketable as a Data Scientist; 6 Key Concepts in Andrew Ng’s “Machine Learning Yearning”; Understanding Cancer using Machine Learning; Command Line Basics Every Data Scientist Should Know.

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New York Data Security Act & Data Mapping

Octopai

For better or for worse, California is often the place where great (and not so great) ideas and trends originate and ultimately sweep the country, if not the world. California gave us surf music, Pet Rocks, Valley-girl culture, Google, Apple, and eBay, among other cultural phenomena. One of California’s more recent contributions to the American landscape is its data privacy law, known as the California Consumer Protection Act (CCPA).

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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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AI vs. Machine Learning vs. Deep Learning

Dataiku

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Managing Costs in a Multi-Cloud Environment

Nutanix

With any emerging enterprise technology the “big break” of explosive user growth doesn’t come until there is an obvious financial gain. When it comes to cloud adoption, the big break came when CFOs looked at the cloud model and discovered some interesting economic benefits.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. People-process-technology speak is no longer enough to traverse the technological landscape.

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An Interview with a Data Scientist

Grooper

An interview with Pranshuk Kathed, machine and deep learning enthusiast. Data scientists are a precious resource, so I thought I'd ask some basic questions to try and shed a little light on the basics. I thought I'd bust some of the hype too, but - the hype is true. Questions? Let me know, and we’ll get answers on a future interview! Everyone says you spend most of your time prepping data.

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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