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 264

Machine Learning Data Quality Statistics Modeling 264

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?

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Insurance Analytics Forecasting Deep Learning 250

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

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.

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Management Data Quality Data Integration Data Lake 270

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).

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Data Science Machine Learning Big Data Statistics 219

datapine

JUNE 13, 2019

Using daily and/or weekly sales reports with your team may be the single most powerful action you can take to increase your team’s performance. Don’t believe us? We’ll convince you with an example from another sector – fitness. Let’s say a friend of yours has a goal of losing 10 pounds of fat or gaining 5 pounds of muscle, over the next 2 months. Your friend excitedly tells you their plan, and all of the actions they plan to take to achieve their goal.

Sales 264

Sales Reporting KPI B2B 264

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 20, 2019

Over the last few years, there has been a lot of focus on Digital Transformation, which is not a new concept. In the last decade or so, the focus was on paperless offices, work place mobility, which is what I would classify as Digitization. These days, the focus is on what we call Digitalization, which is a comprehensive transformation rather than Digitization mentioned previously.

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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 207

Data Integration Big Data Data Analytics Management 207

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Data-driven

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

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IT Business Intelligence Software Strategy 111

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. A few factors are contributing to this strong interest in implementing ML in products and services. First, the machine learning community has conducted groundbreaking research in many areas of interest to companies, and much of this research has been

Modeling 195

Modeling Machine Learning Testing Metrics 195

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.

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Reporting KPI Metrics Finance 251

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

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

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

Timo Elliott

JUNE 14, 2019

I recently did an Innovation Evangelist podcast with Tom Raftery , covering the top innovation trends that I find interesting in business and society today. Here’s a summary of some of the points we covered in the video above: 1. We have a golden opportunity to make the world a better place. Technology is accelerating, and it’s amazing opportunity for win-win-win opportunities.

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Technology Cost-Benefit Machine Learning Metrics 111

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.

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Digital Transformation Data Governance Risk Data-driven 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.

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Enterprise Analytics Data Architecture Interactive 190

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

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.

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Dashboards Sales Cost-Benefit Visualization 245

Analytics Vidhya

JUNE 9, 2019

Introduction “I don’t want a full report, just give me a summary of the results” I have often found myself in this situation – The post Comprehensive Guide to Text Summarization using Deep Learning in Python appeared first on Analytics Vidhya.

Deep Learning 307

Deep Learning Reporting Analytics Modeling 307

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

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” The conference more than doubled from last year: 2 days, 3 tracks, 5 sponsors, 39 sessions, 65 speakers, 600 attendees.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

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

O'Reilly on Data

JUNE 27, 2019

As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use. In July 2016, I broached the idea for an NLP library aimed at Apache Spark users to my friend David Talby. A little over a year later, Talby and his collaborators announced the release of Spark NLP. They described the motivation behind the project in their announcement post and in this accompanying podcast that Talby and I wrote, as well as in this recent post comparing popular open source

Deep Learning 129

Deep Learning Enterprise Modeling IT 129

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.

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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

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

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

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. This post provides a distilled summary, video, and full transcript. Session Summary. Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges.

Management 110

Management Machine Learning Experimentation Metrics 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.

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erwin

JUNE 21, 2019

Over the past few weeks several huge mergers and acquisitions (M&A) have been announced, including Raytheon and United Technologies , the Salesforce acquisition of Tableau and the Merck acquisition of Tilos Therapeutics. According to collated research and a Harvard Business Review report , the M&A failure rate sits between 70 and 90 percent.

Cost-Benefit 108

Cost-Benefit Enterprise Modeling Management 108

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Visualization