O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models with

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

datapine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Arthur Conan Doyle. Data is all around us. According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. That’s an unfathomable amount of information. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight.

Dashboards 316

Dashboards KPI Sales Visualization 316

Analytics Vidhya

JUNE 30, 2019

Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s. The post 6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Analytics Deep Learning Data Science 307

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs. Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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.

Experimentation

David Menninger's Analyst Perspectives

JUNE 12, 2019

This year, I attended Informatica World 2019, Informatica's annual user conference. The main focus this year was on the cloud with a heavy does of AI. Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

Management 246

Management Data Quality Data Integration Data Lake 246

Rocket-Powered Data Science

JUNE 28, 2019

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary. Machine Learning Glossary at Google. Glossary of Artificial Intelligence Terms (From A to Z).

Data Science 218

Data Science Machine Learning Big Data Statistics 218

datapine

JUNE 18, 2019

Regardless of your sector or industry, it’s likely that your financial department is the beating heart of your entire operation. Without financial fluency, it’s difficult for an organization to thrive, which means that keeping your monetary affairs in order is essential. As a business, you need the reliability of frequent financial reports to gain a better grasp of your financial status, both current and future.

Reporting 251

Reporting Metrics KPI Finance 251

Analytics Vidhya

JUNE 24, 2019

Overview Which programming language should you pick for data science? Here’s a list of 6 powerful ones that are not Python or R These. The post 6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python) appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics 307

Corinium

JUNE 21, 2019

Customer experience is the only way that organisations are able to gain competitive advantage and hold on to their customers. It is the experience that customers have that will keep them coming back.

IT 150

IT 150

David Menninger's Analyst Perspectives

JUNE 10, 2019

Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Many of these announcements were centered on a key theme of a cloud and SaaS-first approach.

Data Integration 169

Data Integration Big Data Management Data Analytics 169

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.

Management

CIO Business Intelligence

JUNE 13, 2019

Salesforce.com’s $15.7 billion bid for Tableau Software has many organizations wondering how the proposed acquisition will impact their operations. According to industry analysts, it all depends on how your enterprise makes use of their respective platforms. Users of Salesforce’s CRM platform have all subscribed to its software-as-a-service (SaaS) model, putting their data in the cloud — but the company is only beginning to respond to the demand for sophisticated tools to analyze that data. [ De

IT 111

IT Business Intelligence Software Strategy 111

O'Reilly on Data

JUNE 6, 2019

The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. In this episode of the Data Show , I spoke with Dhruba Borthakur (co-founder and CTO) and Shruti Bhat (SVP of Marketing) of Rockset , a startup focused on building solutions for interactive data science and live applications.

Enterprise 186

Enterprise Analytics Data Architecture Interactive 186

datapine

JUNE 27, 2019

“The only safe ship in a storm is leadership.” – Faye Wattleton. For any business to succeed, it needs purpose, direction, and the resources to grow as well as adapt to the landscape surrounding it – which is why strong leadership is essential. As a CEO, you’re responsible for overseeing every aspect of your business, from the people and the internal culture all the way through to key sales, marketing, and financial strategies.

Dashboards 245

Dashboards Sales Cost-Benefit Visualization 245

Analytics Vidhya

JUNE 19, 2019

Overview Check out Google AI’s best paper from ICML 2019 There is a heavy focus on unsupervised learning in Google AI’s paper We have. The post Simplifying Google AI’s Best Paper at ICML 2019 on Unsupervised Learning appeared first on Analytics Vidhya.

Analytics 307

Analytics Deep Learning 307

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.

Testing

Corinium

JUNE 20, 2019

Over the last eight years the East Africa region has undergone rapid transformation from new Fintech offerings, mobile money, digitalization and growth of digital financial services.

Data Analytics 150

Data Analytics Analytics 150

erwin

JUNE 14, 2019

Digital transformation examples can be found almost anywhere, in almost any industry. Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. Amazon began as a disruptor to brick-and-mortar bookstores, eventually becoming one of the most obvious digital transformation examples as it went on to revolutionize online shopping.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

Rita Sallam

JUNE 11, 2019

A Tale of Two Acquisitions… It’s back to the BI future! This week, Cloud megavendors Google and Salesforce bought modern analytics and BI vendors Looker and Tableau, respectively, to complement their cloud data management and application stacks and to drive data and compute-intensive analytics use cases to their respective clouds. The modern analytics and BI market is now mainstream with large enterprises now deploying these platforms enterprise wide.

Marketing 110

Marketing Analytics Enterprise Visualization 110

Bruno Aziza

JUNE 24, 2019

Although firms continue to restructure the CDO role, with a few firms even having eliminated the position for the time being, the Chief Data Officer function is here to stay.

109

109

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IT

datapine

JUNE 3, 2019

“The competition to hire the best will increase in the years ahead. Companies that give extra flexibility to their employees will have the edge in this area.” – Bill Gates. To compete, evolve, and remain relevant, today’s forward-thinking businesses always strive to improve the efficiency of their internal processes while measuring their success – and hiring talent is no exception.

Metrics 210

Metrics Dashboards KPI Measurement 210

Analytics Vidhya

JUNE 11, 2019

Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js and Python appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Modeling Deep Learning Analytics 307

Corinium

JUNE 12, 2019

Welcome to Future Enterprise Systems Africa (FESA 2019) , our new conference born out of the DigiCon series of events. The slight shift in focus is to hone in on the practical steps of digital transformation the nuts and bolts of what the next generation business requires in order to survive. Two key areas were identified – the architecture teams and the innovation teams.

Enterprise 150

Enterprise Digital Transformation IT 150

Smart Data Collective

JUNE 23, 2019

In today’s digital age, big data is incorporated into many aspects our daily lives. Big data is essentially massive amounts of data that is used in order to drive strategic decisions. An example of how it is used in daily life is through using online maps such as Google Maps to take the quickest route to work possible. Through the collection of data , patterns of traffic congestion are produced to give you the best route.

Big Data 107

Big Data Cost-Benefit Measurement Management 107

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.

Customer Analytics

DataRobot

JUNE 28, 2019

It’s been a fun year in the world of professional tennis. From the men’s tour, we’ve witnessed Novak Djokovik winning in Australia, Rafael Nadal winning in France, and Roger Federer rounding out the continued domination of the Big Three. With the emergence of a new generation on the women’s tour, it’s been exciting to watch Naomi Osaka win in Australia and Ashleigh Barty win in France.

102

102

Dataiku

JUNE 25, 2019

Plastic may be one of the most versatile materials on this planet, with a broad range of useful applications in almost every aspect of our daily lives, but it’s also one of the worst pollutants. It can take up to 1,000 years to biodegrade and only a small fraction of what we produce ends up being recycled.

IT 99

IT 99

Data Science 101

JUNE 3, 2019

Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow. Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations. Playing Atari with Deep Reinforcement Learning (2013) – A bit older, but a classic in the reinforcement learning literature Model Evaluation, M

Data Science 96

Data Science Machine Learning Modeling Software 96

Analytics Vidhya

JUNE 12, 2019

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, The post An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals appeared first on Analytics Vidhya.

Data Science 307

Data Science Statistics Analytics 307

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Analytics

Corinium

JUNE 12, 2019

Companies across the continent are rapidly adopting cloud services to improve efficiency, scalability and access. However, this rapid adoption of cloud services is seeing an exponential rise in attacks and vulnerabilities. One of the core functions of CISO Cape Town is for IT security experts to gather and share new strategies to defend against the online realm, strategies that may incorporate traditional applications, and in other cases tackle challenges differently.

Strategy 150

Strategy IT 150

Smart Data Collective

JUNE 10, 2019

Sustainability is a major concern for many businesses. You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. People that know me are aware that I have a blog on sustainability, as well as Smart Data Collective.

Technology 102

Technology Data Analytics IoT Big Data 102

Jedox

JUNE 26, 2019

We are pleased to welcome an expert in Financial Planning and Analysis (FP&A), Mr. Anders Liu-Lindberg, as a guest to the Jedox blog. Mr. Liu-Lindberg is a Senior Finance Business Partner at Maersk and co-author of the book “Create Value as a Finance Business Partner.” He is also a finance industry blogger on LinkedIn with more than 33,000 followers.

Finance 89

Finance Data-driven Forecasting Marketing 89

Dataiku

JUNE 7, 2019

With over 100,000 participants, 3,000 technical institutions, and 200 organizations involved, the Smart India Hackaton (SIH) is one of the biggest student software and hardware hackatons in the world. It is a 36-hour-long digital product development competition where students are encouraged to use the latest technology to solve present-day problems, and thus form a culture of innovation and a problem solving mindset.

Software 96

Software Technology IT 96

Advertiser: Data Robot

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.

Enterprise