David Menninger's Analyst Perspectives

AUGUST 13, 2019

Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.

Internet of Things 244

Internet of Things IT Machine Learning Business Intelligence 244

Analytics Vidhya

AUGUST 7, 2019

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! appeared first on Analytics Vidhya.

Modeling 303

Modeling Analytics 303

Corinium

AUGUST 23, 2019

Republished courtesy of Suren Pillay. Orginally published here: [link]. Join Suren at Future Enterprise Systems Africa 2019, 16-17 October, Focus Rooms Sunninghill, Johannesburg ( www.fes-africa.com ).

Enterprise 225

Enterprise Publishing 225

KDnuggets

AUGUST 16, 2019

As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.

Marketing 123

Marketing Data Science 123

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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

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges.

Data Analytics 101

Data Analytics Analytics Big Data Advertising 101

erwin

AUGUST 1, 2019

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Analytics Vidhya

AUGUST 19, 2019

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.

Data Science 307

Data Science Analytics 307

datapine

AUGUST 21, 2019

Billionaire Tilman Fertitta walks into the room. You can’t believe this heavyweight, the CEO and sole owner of multiple restaurant franchises, has given you the time of day. Tilman sits down, settles himself, and glances at the clock. “Well friend,” he says, “I have about three or four minutes before I have to get out of here. What do you wanna know?”.

Sales 235

Sales Dashboards KPI Visualization 235

Corinium

AUGUST 16, 2019

AI is transforming the customer service profession. Gartner predicts that 15% of all customer service interactions will be handled using AI by 2021. That means half of all enterprises could be spending more on AI than traditional mobile within two years.

Interactive 199

Interactive Enterprise 199

KDnuggets

AUGUST 23, 2019

Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. A complementary Domino project is available. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

erwin

AUGUST 22, 2019

The design thinking process is a method of encouraging and improving creative problem-solving. The design thinking process is by no means new. John Edward Arnold, a professor of mechanical engineering and business administration, was one of the first to discuss the concept in as early as the 1950s. But the wave of digital and data-driven business has created new opportunities for the design thinking process to be applied.

Testing 111

Testing Consulting Enterprise Data-driven 111

Analytics Vidhya

AUGUST 27, 2019

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) appeared first on Analytics Vidhya.

Analytics 307

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datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amo

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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

AUGUST 30, 2019

Tell us about your experience in working with the data analytics community at Vertica? Why do y ou like working in this space?

Marketing 199

Marketing Data Analytics Analytics 199

KDnuggets

AUGUST 8, 2019

Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

Machine Learning 123

Machine Learning Analytics 123

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment.

Optimization 111

Optimization Deep Learning Modeling Metrics 111

erwin

AUGUST 15, 2019

Organizations largely recognize the need for enterprise architecture tools, yet some still struggle to communicate their value and prioritize such initiatives. As data-driven business thrives , organizations will have to overcome these challenges because managing IT trends and emerging technologies makes enterprise architecture (EA) increasingly relevant.

Enterprise 110

Enterprise Management ROI Data-driven 110

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

Analytics Vidhya

AUGUST 5, 2019

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

Machine Learning 308

Machine Learning Metrics Modeling Analytics 308

datapine

AUGUST 28, 2019

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. By gaining centralized access to business data and presenting it in a visual way that follows a logical path and provides invaluable insights on a particular area or subject, you stand to set yourself apart from your competitors and become a leader in your field.

KPI 193

KPI Visualization Dashboards Data-driven 193

Data Science 101

AUGUST 31, 2019

The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education. It includes courses on: Python Deep Learning SQL and more. Check them out to quickly get up to speed. Happy Learning.

Deep Learning 107

Deep Learning Data Science IT 107

KDnuggets

AUGUST 12, 2019

Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.

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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

Bruno Aziza

AUGUST 11, 2019

Readers of this column know that Artificial intelligence (AI) is hot. Managing Director at Redpoint Capital’s Tomasz Tunguz pointed out this past week that there were no AI startups eight years ago and that today, there are 400!

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Management 105

Paul Turley

AUGUST 24, 2019

The purpose of this article is to outline a set of guidelines and recommended practices for managing Microsoft Power BI projects. This guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects. Again, this guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects.

Measurement 102

Measurement Optimization Reporting Management 102

Analytics Vidhya

AUGUST 1, 2019

Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Analytics Deep Learning 307

datapine

AUGUST 7, 2019

In the Age of Information, digital technologies have evolved to such an extent that a wealth of tools, applications, and platforms exists to enhance the way businesses operate in a number of areas. Software as a service (SaaS) has blossomed in the last five years, and the public SaaS market is expected to grow to $76 billion by the year 2020, according to FinancesOnline.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

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

DataCamp

AUGUST 23, 2019

Hugo Bowne-Anderson, data scientist and host of our podcast DataFramed, deconstructs the essential topics and skills that employees need to know to work with data.

Data Processing 96

Data Processing 96

KDnuggets

AUGUST 29, 2019

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

Machine Learning 120

Machine Learning Data Science 120

TDAN

AUGUST 20, 2019

Blockchain is a distributed, shared, permissioned ledger for recording transactions with consensus, provenance, immutability, and finality. It is the technology that drives virtual currencies like Bitcoin. But its potential spans many more industries and use cases than just virtual currencies. But let’s back up for a minute. How does blockchain work?

Technology 101

Technology IT Data Architecture Data Strategy 101

BizAcuity

AUGUST 12, 2019

Artificial intelligence – We’ve all heard about it. It’s everywhere, in your cell phone, your social media apps, Amazon Alexa, Google Assistant – you name it. Let’s just agree that it’s become a norm in the technology space and is destined to make an appearance in almost every area of our lives in the coming years.

Advertising 98

Advertising Machine Learning Software Interactive 98

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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

Visualization