June, 2020

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22 Widely Used Data Science and Machine Learning Tools in 2020

Analytics Vidhya

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

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How CDAO Priorities are Shifting in 2020

Corinium

An increased focus on meeting workforce demands may be an indication of what the future has in store for data and analytics leadership roles. The roles of the CDO, CAO and CDAO are constantly evolving. As we’ve seen this year, global events can completely transform an organization’s business priorities. When this happens, data and analytics leaders must adapt to realign their strategies with these shifting goalposts.

Strategy 286
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3 Building Blocks of Machine Learning you Should Know as a Data Scientist

Analytics Vidhya

Overview A machine learning system consists of multiple building blocks that need to be managed Learn about the three key building blocks of machine. The post 3 Building Blocks of Machine Learning you Should Know as a Data Scientist appeared first on Analytics Vidhya.

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US Data Leaders Racing to Grow Strong Data Cultures

Corinium

Organizations must not lose sight of this key step on the path to data maturity in the age of COVID-19. Driving cultural change is one of the greatest barriers to advancing data and analytics in business today, and organizations must not lose sight of that fact in the age of COVID-19.

Analytics 221
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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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How to Convince Stakeholders That Data Governance is Necessary

TDAN

You may already have a formal Data Governance program in place. Then again, perhaps you don’t. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

As a chief financial officer (CFO), the weight of your company’s fiscal wellbeing most likely rests on your shoulders. Not only are you responsible for the ongoing financial strategy of your organization, but you’re probably expected to provide timely, accurate reports to a variety of stakeholders. With so much responsibility and such little time, financial data analysis is no easy feat.

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The journey to AI: keeping London's cycle hire scheme on the move

IBM Big Data Hub

When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.

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10 Compelling Reasons you Should Use JupyterLab for Data Science Coding

Analytics Vidhya

Overview JupyterLab is a brilliant coding environment to perform data science tasks These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks. The post 10 Compelling Reasons you Should Use JupyterLab for Data Science Coding appeared first on Analytics Vidhya.

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Corinium Meets: BNP Paribas Global Head of AI Adri Purkayastha

Corinium

BNP Paribas Global Head of AI and Digital Risk Analytics Adri Purkayastha talks to us about how COVID-19 is accelerating the firm’s digital transformation and the future of risk analytics. You’ve been at BNP Paribas for roughly 18 months. What would you say are the main differences between working for an in-house data science function and the kind of consultancy work you previously did?

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How AI Will Save Us from the Coronavirus

TDAN

COVID-19! Even the word sounds repulsive. This horrendous disease has killed over 100,000 people in the past 6 months and devastated billions in its wake. However, for the first time in history, we have tools like artificial intelligence (AI) to help us fight a global pandemic. AI may prove to be one of the best […].

IT 136
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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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Do I Need a Data Catalog?

erwin

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer.

Metadata 132
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Machine Learning and the Production Gap

O'Reilly on Data

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. It’s getting machine learning from the researcher’s laptop to production. That’s the real gap. It’s one thing to build a model; it’s another thing altogether to embody that model in an application and deploy it successfully in production.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 7: The Impact of COVID-19 on Financial Services & Risk Management

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. Listening time: 12 minutes. The Impact of COVID-19 on Financial Services & Risk Management. In this episode of the AI to Impact Podcast, Ashwini Agrawal delves into the financial aspects of COVID-19. With reduced disposable incomes, customer defaults are at an all-time high, and several banks are reeling under productivity and efficiency challenges.

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4 Simple Ways to Split a Decision Tree in Machine Learning

Analytics Vidhya

Overview How do you split a decision tree? What are the different splitting criteria when working with decision trees? Learn all about decision tree. The post 4 Simple Ways to Split a Decision Tree in Machine Learning appeared first on Analytics Vidhya.

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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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Four Reasons CDAOs Should Prioritize Data and AI Ethics

Corinium

The threats ethical challenges pose to public trust in AI systems are growing rapidly as organizations deploy these technologies in ever more sophisticated ways. As the impact AI technologies have on people’s lives grows, businesses can’t afford to take the trust people place in AI tools for granted.

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Usage of Programming Languages by Data Scientists: Python Grows while R Weakens

Business Over Broadway

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages. The most popular, by far, was Python (87% used).

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The Difference Between Enterprise Architecture and Solutions Architecture

erwin

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate. And as with data architecture , a solution architect’s focus is narrower.

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Data quality: The key to building a modern and cost-effective data warehouse

IBM Big Data Hub

Turning raw data into improved business performance is a multilayered problem, but it doesn’t have to be complicated. To make things simpler, let’s start at the end and work backwards. Ultimately, the goal is to make better decisions during the execution of a business process. This can be as simple as not making a customer repeat their address after a hand-off in a call center, or as complex as re-planning an entire network of flights in response to a storm.

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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.

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Is Yann LeCun the New Marie Curie?

Dataiku

Deep learning has met increasing hype in the last few years, and with lots of practical success. But does that necessarily indicate an exponential growth in AI over the next few years? A Parallel History.

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Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python

Analytics Vidhya

Overview Information extraction is a powerful NLP concept that will enable you to parse through any piece of text Learn how to perform information. The post Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python appeared first on Analytics Vidhya.

Analytics 398
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Digital Transformation in the Spotlight at DCO Nordics

Corinium

Data Champions Online Nordics revealed how the region’s data leaders are mastering stakeholder management, increasing data literacy and managing expectations around emerging technologies. Corinium’s inaugural Data Champions Online, Nordics event brought together more than 200 data and analytics executives from the region’s leading brands from June 9-11.

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There Are No Perfect Words…

Teradata

Juneteenth has been declared a U.S. holiday at Teradata, as we stand with the black community and reflect on what we can do to fight racism and injustice, and embrace diversity.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Reporting in Haiku

Juice Analytics

Over the last couple of weeks we’ve been running a survey to find out how people feel about reporting. In the survey, we asked respondents to provide three words that come to mind when you think of reporting. Semantic text analysis is great, but the best way I found to extract the essence of this question was through haiku. These are your words, rearranged.

Reporting 114
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Jumpstart your journey to AI expertise: recap of Data and AI Virtual Forum talent sessions on demand

IBM Big Data Hub

Follow @IBMAnalytics. Talent: It’s a key issue impacting today's AI-hungry organizations. While AI skills are in high demand, organizations admit they’re hard to come by. In fact, the lack of talent scarcity has been called out as one of the top three hurdles to AI adoption, after data complexity, and a lack of trust in AI systems.

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The Different Types of Data Scientists (And What Kind You Should Hire)

Dataiku

Not all data scientists are created equal, especially now that several “generations” of data scientists have entered and left organizations.Today, data scientists come in many flavors with different strengths that may suit different types of enterprises depending on the types of problems or projects they are working on. Not to say that one type is better or worse than another type of data scientist — it all depends on what a business is looking for.

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8 SQL Techniques to Perform Data Analysis for Analytics and Data Science

Analytics Vidhya

Overview SQL is a must-know language for anyone in analytics or data science Here are 8 nifty SQL techniques for data analysis that ever. The post 8 SQL Techniques to Perform Data Analysis for Analytics and Data Science appeared first on Analytics Vidhya.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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COVID-19 Tops the Agenda at Data Champions Online Financial Services

Corinium

This digital event shone a light on how financial services data leaders are accelerating their organizations’ digital transformations in response to the pandemic. COVID-19’s impact on the financial services sector dominated conversations at Corinium’s Data Champions Online, Financial Services digital event earlier this month.

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Eight Questions on Data Governance: An Interview with Alation Co-Founder and Chief Data Officer Aaron Kalb

Alation

The post Eight Questions on Data Governance: An Interview with Alation Co-Founder and Chief Data Officer Aaron Kalb appeared first on Alation.

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Tableau certification guide: Kick-start your analytics career

CIO Business Intelligence

Data visualization platform Tableau is one of the most widely used tools in the rapidly growing business intelligence (BI) space and individuals with skills in Tableau are in high demand. Market intelligence and advisory firm Mordor Intelligence forecasts the global data visualization market to achieve a compound annual growth rate of more than 9 percent between 2020 and 2025 as businesses seek to become more analytically driven.

Analytics 125
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IBM’s Cloud Pak for Data helps Wunderman Thompson build guideposts for reopening

IBM Big Data Hub

As communities and businesses worldwide look to understand the economic impact of COVID-19 and prepare for an eventual recovery, the biggest test of decision-making will be the data that will inform the business decisions. Was it trusted? Was it timely? Was it enough? To date, there are many efforts to release COVID-19 dashboards that can give us a hint on what to do next.

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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.