Fri.Jun 10, 2022

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A brief Introduction to AI Ethics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction in AI Ethics Artificial intelligence is becoming more and more prevalent in our increasingly interconnected world. From self-driving cars to automated customer service agents, AI is slowly but surely changing how we live and work. As AI becomes more and more sophisticated, […].

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Kyvos Accelerates Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

Organizations are scaling business intelligence initiatives to gain a competitive advantage and increase revenue as more data is created. Lack of expertise, data governance and slow performance can impact these efforts. Our Analytics and Data Benchmark Research finds some of the most pressing complaints about analytics and BI include difficulty integrating with other business processes and flexibility issues.

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Make Amazing Data Science Projects using PyScript.js

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on PyScript.js It is a front-end framework that enables the use of Python in the browser. It is developed using Emscripten, Pyodide, WASM, and other modern web technologies. Using Python in the browser does not mean that it can replace Javascript. But […]. The post Make Amazing Data Science Projects using PyScript.js appeared first on Analytics Vidhya.

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NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

KDnuggets

This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

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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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Mental Health Prediction Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Technology is evolving round the clock in recent times. This has resulted in job opportunities for people all around the world. It comes with a hectic schedule that can be detrimental to people’s mental health. So During the Covid-19 pandemic, mental health […].

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IBM CIO Kathryn Guarini on being IBM’s first customer

CIO Business Intelligence

IBM was among the first companies to help shape the parameters of the IT department and the ever-evolving role of CIO, and IBM CIO Kathryn Guarini has had a front row seat to watch the role change throughout her 22-year career with the company. Prior to becoming CIO last year, Guarini was COO of the IBM Research Division, arming her with extensive experience working with emerging technology and other innovations coming from IBM.

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A Structured Approach To Building a Machine Learning Model

KDnuggets

This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.

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Spring Security Oauth2 with Keycloak

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In our day-to-day life, we are dealing with many web and mobile applications. To access that application many times we may have seen “Please log in” 0r “Please Sign in” pop-ups. Do we ever think about what the application is doing once […].

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Rekindling the thrill of programming

CIO Business Intelligence

We humans are a funny lot. How quickly we go from being humbled by the improbable feat of human flight to being irritated by how long it takes at the airport. We are routinely antagonized by traffic, but only occasionally amazed by the existence of a thing called an automobile. One of the most prominent examples of recent human achievement is what we call a programming language.

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9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

Are you interested in a career in data science? This is the best time ever to pursue this career track. The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wi

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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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Innovation City Belfast names new digital innovation commissioner

CIO Business Intelligence

Innovation City Belfast (ICB) has appointed a new digital innovation commissioner. Eileen Montgomery, who joins ICB after a three-decade long career in manufacturing, has taken over from Mark Gillan, who was appointed to the role in September 2021. Montgomery has worked as a senior leader at some of the world’s leading manufacturers, most recently as vice president of engineering at US industrial products company Crane ChemPharma & Energy.

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Ensuring Responsible AI Across the Entire ML Lifecycle

Dataiku

When AI failures make headlines because they have created unanticipated and potentially problematic outcomes, this is not unique to one specific use case or industry. If you are utilizing AI, this is something that is likely on your radar, but having good intentions with AI utilization is simply not enough. In fact, most organizations do not anticipate or intend for the negative consequences of AI failures.

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Network as a Service (NaaS), Sustainability, and the Circular Economy

CIO Business Intelligence

By: Amrita Shergill, Account Manager, NaaS and Ecosystem Sales. Organizations have struggled to develop innovative technologies that are environmentally friendly and reduce the impact on the world. Sustainability is another challenge that leaders have strived to meet. Since the pandemic, NaaS solutions are growing quickly due to the need for a hybrid workforce, the demand for CapEx during off-budget cycles, and the shortage of employees with a networking skill set. .

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Celebrating Our Customers

DataRobot Blog

This week at DataRobot AIX ‘22 , we recognized the achievements of some of our best customers around the world, awarding them our first ever DataRobot AI Innovator awards. AI Innovators were selected for their exceptional pioneering efforts applying AI in the transformation of their business and industry. In a market as dynamic and rapidly evolving as AI, these organizations are inspiring examples of how AI can bring more intelligent decisions to vital business processes and business needs.

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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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Modernizing Your Security Operations in the Next Phase of Covid

CIO Business Intelligence

Covid’s deadly trail has, thus far, forced enterprise cybersecurity into three distinct phases. Phase one was the rush to keep business moving in the face of an uncertain pandemic. Phase two saw more calm to the storm with additional security measures put in place. The third phase is now kicking in as we progress further into 2022, and could showcase the path to far better security as we all learn to co-exist for the long term with the pandemic.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart!

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Cloudera’s Applied ML Prototype Catalog Continues to Grow

Cloudera

Here at Cloudera, we’re committed to helping make the lives of data practitioners as painless as possible. For data scientists, we continue to provide new Applied Machine Learning Prototypes (AMPs), which are open source and available on GitHub. These pre-built reference examples are complete end-to-end data science projects. In Cloudera Machine Learning (CML), you can deploy them with the single click of a button, bringing data scientists that much closer to providing value.

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How AI Can Elevate Your Customer Service

Smart Data Collective

Artificial intelligence is gaining traction in different sectors, including customer service. Call centers alone spent over $3.4 billion on AI in 2019 , but the market for AI in customer service sector as a whole is much greater. AI technology offers an opportunity for businesses to enhance their services while learning more about their customers. Interestingly, AI can enhance customer service in almost all elements, including improving response time and providing predictable insights.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Why BEPS Compliance Might be a Good Thing

Jet Global

In July of 2021, more than 130 countries approved a framework intended to reform international tax rules under the OECD/G20 Inclusive Framework on Base Erosion and Profit Shifting (BEPS). There are plenty of arguments both for and against the plan. What’s not in question, though, is that BEPS constitutes a radical shift in the way taxes are levied on multinational companies.