David Menninger's Analyst Perspectives
OCTOBER 7, 2020
For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions. The result was battle-tested integrations that could withstand the test of time.
Analytics Vidhya
OCTOBER 28, 2020
This article was published as a part of the Data Science Blogathon. Introduction The share price of HDFC Bank is going up. It’s on. The post Predicting Stock Prices using Reinforcement Learning (with Python Code!) appeared first on Analytics Vidhya.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
O'Reilly on Data
OCTOBER 22, 2020
“ On peut interroger n’importe qui, dans n’importe quel état; ce sont rarement les réponses qui apportent la vérité, mais l’enchaînement des questions. “ “ You can interrogate anyone, no matter what their state of being. It’s rarely their answers that unveil the truth, but the sequence of questions that you have to ask. “ – Inspector Pastor in La Fée Carabine, by Daniel Pennac.
datapine
OCTOBER 7, 2020
Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data.
Advertisement
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Rocket-Powered Data Science
OCTOBER 16, 2020
Artificial intelligence (AI) has become one of the most significant emerging technologies of the past few years. Some market estimates anticipate that AI will contribute 16 trillion dollars to the global GDP (gross domestic product) by 2030. While there has been accelerating interest in implementing AI as a technology, there has been concurrent growth in interest in implementing successful AI strategies.
Corinium
OCTOBER 20, 2020
Evaluating new customer service technologies can be overwhelming. With new platforms, deployment methods, and rising customer expectations, the customer service tech ecosystem has grown more and more complex. In this report from Forrester, you’ll read about new ideas and best practices when it comes to finding the right customer service solution for your business.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
OCTOBER 27, 2020
Overview A/B testing is a popular way to test your products and is gaining steam in the data science field Here, we’ll understand what. The post A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists appeared first on Analytics Vidhya.
O'Reilly on Data
OCTOBER 13, 2020
The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market.
BA Learnings
OCTOBER 4, 2020
Are you looking to create a business model canvas? As with most artefacts these days, you don’t need to start from scratch. There are a number of tools you can employ to brainstorm the details of your business model and present it in a professional format. The following tools have been provided as an initial starting point. Canvanizer Strategyzer Miro BMCanvas Conceptboard Vizzlo VisualParadigm CNVS Do you know of any other tools that should be on this list?
Smart Data Collective
OCTOBER 25, 2020
The IoT is becoming increasingly commercialized. IDC estimates that there will be 41.6 billion IoT devices online by 2025. As the IoT continues to expand, companies across the world are looking for new ways to embrace its potential. One of the most overlooked benefits of the IoT is with indoor mapping. Companies can find a number of useful IoT approaches to achieve this goal.
Advertisement
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?
Paul Turley
OCTOBER 10, 2020
Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. Often the first validation effort after transforming and loading data into the model and then visualizing the initial results is having a business user say " ye
David Menninger's Analyst Perspectives
OCTOBER 29, 2020
Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. As I continue my evaluation of analytics and data vendors , I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide.
Analytics Vidhya
OCTOBER 14, 2020
Introduction In the recent years, face recognition applications have been developed on a much larger scale. Image classification and recognition has evolved and is. The post Building an end to end image classification/recognition application appeared first on Analytics Vidhya.
Domino Data Lab
OCTOBER 7, 2020
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of sampl
Advertisement
📌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.
erwin
OCTOBER 8, 2020
More and more companies are looking at cloud migration. Migrating legacy data to public, private or hybrid clouds provide creative and sustainable ways for organizations to increase their speed to insights for digital transformation, modernize and scale their processing and storage capabilities, better manage and reduce costs, encourage remote collaboration, and enhance security, support and disaster recovery.
Smart Data Collective
OCTOBER 25, 2020
Machine learning has become a major game changer for the cryptocurrency industry. Most of the benefits are machine learning have been positive for the market. Machine learning is being used to predict price patterns more easily. However, some of these changes are not as welcome. Machine learning is making cryptocurrencies easier to trace. Since their inception, cryptocurrencies have gained popularity in several parts of the world.
Paul Turley
OCTOBER 18, 2020
Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. Often the first validation effort after transforming and loading data into the model and then visualizing the initial results is having a business user say " ye
Rocket-Powered Data Science
OCTOBER 16, 2020
I recently enjoyed recording a podcast with Joe DosSantos (Chief Data Officer at Qlik ). This was one in a series of #DataBrilliant podcasts by Qlik , which you can also access here and here. I summarize below some of the topics that Joe and I discussed in the podcast. Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more.
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.
Analytics Vidhya
OCTOBER 12, 2020
This article was published as a part of the Data Science Blogathon. Introduction I have always been in love with Data Visualization since the. The post Create a Word Cloud or Tag Cloud in Python appeared first on Analytics Vidhya.
Jedox
OCTOBER 1, 2020
We have been talking about a digital transformation in Finance for ages. Some have come far on the journey while others are still struggling. Having just gone through a severe crisis that saw everyone working remotely and using digital tools makes this transformation more relevant than ever. . Right now, we are looking at two almost extreme cases: On one hand, we are at a stage where the transformation can be completed because of all the tools are available.
erwin
OCTOBER 16, 2020
It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. We’re now generating 2.5 quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. With this absolute data explosion, it’s nearly impossible to filter out the time-sensitive data, the information that has immediate relevance and impact o
Smart Data Collective
OCTOBER 1, 2020
Email has proven to be a remarkably resilient marketing medium. The ROI of email marketing can be up to 4,400%. However, email marketing is also rather complicated. Businesses that depend on email marketing need to take advantage of various types of technology to leverage it effectively. We have previously written about the benefits of data driven marketing , but wanted to focus more on the benefits of machine learning as well.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
Martha Bennett
OCTOBER 28, 2020
In 2021, Forrester predicts 30% of blockchain projects will make it into production with the majority of those run on enterprise platforms. Find out more in our 2021 blockchain predictions.
Data Science 101
OCTOBER 24, 2020
This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows in the cloud and more.
Analytics Vidhya
OCTOBER 7, 2020
This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis(EDA) is one of the most underrated and under-utilized. The post Exploratory Data Analysis – The Go-To Technique to Explore Your Data! appeared first on Analytics Vidhya.
Cloudera
OCTOBER 1, 2020
Since 2013 the UK Government’s flagship ‘Cloud First’ policy has been at the forefront of enabling departments to shed their legacy IT architecture in order to meaningfully embrace digital transformation. The policy outlines that the cloud (and specifically, public cloud) be the default position for any new services; unless it can be demonstrated that other alternatives offer better value for money. .
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.
erwin
OCTOBER 1, 2020
The erwin WFH (Work From Home) Impact Manager is a remote-work app that provides visibility and intelligence to help remote workers be more productive and process-compliant. The global pandemic is the single most disruptive event in modern times. Almost overnight organizations across the globe faced lockdowns, forcing them to switch to a remote-first workforce.
Smart Data Collective
OCTOBER 11, 2020
Cloud design tools are creating a new future for the design profession. One study found that 47% of companies that use CAD software are implementing or strongly considering implementing a cloud-based CAD solution in the future. The number of professionals using other cloud-based design applications is even higher. We talked about the use of machine learning and big data in web development.
Dataiku
OCTOBER 6, 2020
While a majority of AI’s business value comes from deploying models operationally, a significant percentage of data science projects never actually make it out of the lab to even start making a real-world impact. Why is that so? In this recap from a recent webinar with GigaOm Research featuring Dataiku’s Lead Data Scientist Katie Gross , we break down some of the key barriers to machine learning deployment and what data teams (notably data scientists) have the power to do to help prevent this fr
Srividya Sridharan
OCTOBER 22, 2020
In 2021, business and IT leaders will be forced to tackle some long-lingering AI challenges head on to successfully emerge from the pandemic. Read Forrester's AI predictions to learn more.
Advertisement
Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Expert insights. Personalized for you.
337 
Let's personalize your content