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 209

Internet of Things IT Business Intelligence Machine Learning 209

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

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

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 96

Data Analytics Analytics Big Data Data Lake 96

erwin

AUGUST 1, 2019

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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

Analytics Deep Learning 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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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

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

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

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 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: 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

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

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

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!

Management 105

Management 105

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IT

Analytics Vidhya

AUGUST 18, 2019

Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few. The post The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics Machine Learning 307

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

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 122

Machine Learning Data Science 122

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

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 101

Measurement Optimization Reporting Management 101

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

Analytics Vidhya

AUGUST 25, 2019

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This. The post Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Modeling Analytics 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

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Analytics

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

KDnuggets

AUGUST 26, 2019

Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.

Visualization 121

Visualization Sales 121

Jen Stirrup

AUGUST 14, 2019

It’s ironic that there are so many technical tools ways to communicate, there are still problems in achieving effective internal communication in companies. This is particularly evidence in relationships between Finance and IT. In this topic, the issues will be explored further The issue with having so many technical tools is that the quantity of communication may increase, so this can give the appearance that communication is going well.

Business Intelligence 96

Business Intelligence Finance IT Cost-Benefit 96

DataRobot Blog

AUGUST 27, 2019

by Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.

Marketing 96

Marketing Digital Transformation Data Integration Analytics 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