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.
Cloudera
OCTOBER 26, 2020
Growing up, were you ever told you can’t have it all? That you can’t eat all the snacks in one sitting? That you can’t watch the complete Back to the Future trilogy as well as study for your science exam in one evening? Over time, we learn to set priorities, make a decision for one thing over the other, and compromise. Just like when it comes to data access in business.
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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.
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.
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.
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
Cloudera
OCTOBER 29, 2020
With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight. At Cloudera, we set out to directly address these lifecycle challenges through the Cloudera Data Platform (CDP) — the only hybrid-cloud, multi-cloud enterprise data platform built for the full data lifecycle. .
Dataiku
OCTOBER 27, 2020
Data architecture is a pivotal element of Enterprise AI. According to Gartner , “Data architecture is returning with vengeance as recent cloud practices have begun to encounter the systems design, data management, and application portfolio issues reminiscent of the 1990s. Data will be even more distributed, increasing the demand for a central governing authority within the office of the chief data officer.
Analytics Vidhya
OCTOBER 24, 2020
This article was published as a part of the Data Science Blogathon. Introduction In today’s era of Big data and IoT, we are easily. The post A comprehensive guide to Feature Selection using Wrapper methods in Python appeared first on Analytics Vidhya.
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.
Smart Data Collective
OCTOBER 28, 2020
Healthcare organizations house enormous amounts of data – amounts that have been multiplied many times over since the widespread adoption of electronic health records (EHR) systems over the last decade. What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired.
Cloudera
OCTOBER 30, 2020
Being a woman in tech can be incredibly rewarding, lonely, frustrating and inspiring all at once. Each individual has their own experience and path that they’ve followed to get where they are. That is, after all, what makes us unique. Earlier this week Cindy Maike, VP Industry Solutions, hosted a panel discussion with women across the Cloudera EMEA business, working in a variety of different roles; each of us with diverse backgrounds and perspectives, which made for a wide-ranging discussion. .
erwin
OCTOBER 29, 2020
Automating data governance is key to addressing the exponentially growing volume and variety of data. erwin CMO, Mariann McDonagh recounts erwin’s vision to automate everything from day 1 of erwin Insights 2020. Data readiness is everything. Whether driving digital experiences, mapping customer journeys, enhancing digital operations, developing digital innovations, finding new ways to interact with customers, or building digital ecosystems or marketplaces – all of this digital transformation is
Analytics Vidhya
OCTOBER 26, 2020
This article was published as a part of the Data Science Blogathon. Introduction Food brings people together, on many different levels! From ‘Chole Bhature’ The post Sweet, spicy, North or South? : Indian Cuisine Analysis appeared first on Analytics Vidhya.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
Smart Data Collective
OCTOBER 28, 2020
With a mountain of existing data privacy regulations and more on the way, it’s more critical than ever to implement strict cybersecurity strategies. If you process data of any kind – even if you only collect email addresses – you need strong cybersecurity measures. Protecting your data is the only way to avoid serious consequences for your customers and your business.
Depict Data Studio
OCTOBER 27, 2020
I recently had the chance to talk with Zach Bowders on his podcast, Data + Love. Zach is a data analyst, a Tableau Public Ambassador, and passionate about data visualization and data storytelling. We sat down at night after our kids were in bed (8 pm for Zach and 9 pm for Ann!) and talked about how to distinguish between IT and data professionals, how to narrow what users *actually* need, understanding your audience and how to speak up when data isn’t useful.
Dataiku
OCTOBER 30, 2020
Many new machine learning projects start with a minimal amount of sampled data, if any. Even worse, they tend to fail to take advantage of the “hidden gem” that is unlabeled data by focusing on the obvious, labeled data. A potential solution is semi-supervised learning (SSL), which uses both labeled and unlabeled samples to perform prediction.
Analytics Vidhya
OCTOBER 24, 2020
This article was published as a part of the Data Science Blogathon. Introduction Any data associated with the time that is dependent on time-related. The post Time Series Forecasting using Facebook Prophet library in Python appeared first on Analytics Vidhya.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
InsightOut
OCTOBER 30, 2020
A systematic approach to business continuity planning can turn your pandemic response into a robust template for the future and can be made possible through the use of data and predictive analytics. We explore how you can leverage business continuity planning in the context of a global pandemic.
Sisense
OCTOBER 29, 2020
Blog. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Over the years, some bold predictions have been made about the impact autonomous vehicles (AVs) will have on our daily lives.
Jet Global
OCTOBER 29, 2020
If you work in finance and accounting, a lot of things in your life are probably put on hold at certain times of the year. For most, the annual year-end closing process is one of the more stressful times on the annual calendar. Management wants those final numbers as soon as possible. That means gathering information from a wide variety of sources, checking and re-checking the numbers.
Analytics Vidhya
OCTOBER 26, 2020
Introduction By 2025, the world’s data will grow to 175 Zettabytes – IDC The overall amount of data is growing and so is the. The post Beginners Guide to Web Scraping Using Selenium in Python! appeared first on Analytics Vidhya.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
Cloudera
OCTOBER 26, 2020
Cloudera and Dell/EMC are continuing our long and successful partnership of developing shared storage solutions for analytic workloads running in hybrid cloud. . Customer demand has always been the key driver of roadmap features on our platforms. Since the inception of Cloudera Data Platform (CDP), Dell / EMC PowerScale and ECS have been highly requested solutions to be certified by Cloudera.
DataCamp
OCTOBER 29, 2020
Bloomberg’s Global Data Technical Trainer, Sheil Naik, breaks down how a blended learning environment can catalyze a data-driven workforce.
Jet Global
OCTOBER 24, 2020
The Microsoft technology stack incorporates an impressive array of different technologies. Power BI is becoming an important component of that stack, but partners should think carefully before making major IP investments that create long term technical debt the partner has to service. Dynamics partners may be tempted to build their own reporting solutions around Power BI, but they should fully explore the long-term implications of such a decision.
Analytics Vidhya
OCTOBER 29, 2020
This article was published as a part of the Data Science Blogathon. Introduction The world of business has completely changed and revolves around its. The post A Definitive Guide for predicting Customer Lifetime Value (CLV) appeared first on Analytics Vidhya.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Cloudera
OCTOBER 27, 2020
With both the US election and Veterans Day right around the corner, veterans at Cloudera have been telling us their stories, including why they want us all to Make Time to Vote. . The US has a long and evolving history with voting. Across generations, people have fought to gain and improve voting rights for all Americans, and in return, are honored for their sacrifices by having those rights be performed and visions fulfilled.
TreehouseTechGroup
OCTOBER 27, 2020
As digital technologies are dramatically reshaping consumer behavior, markets, and enterprises, CXOs must focus on occupying leadership positions or catching up with competition. The ability to deploy cutting edge technologies fast to deliver products and services in ways that were not possible before has become a business imperative. On the other hand, any business that does… The post How to Develop the Essential Data Architecture for Your Digital Transformation Strategy appeared first on
bridgei2i
OCTOBER 27, 2020
Using Data Science to Power Demand Generation in the Digital Focused Economy. The change in business models is driving more organizations to adopt digital in their business strategies. With the move to digital, marketing teams are also making a pivot in the strategies that they use for Demand Generation. With increase in as a service business models, the customer engagement models are also evolving and this impacts the customer lifecycle.
Analytics Vidhya
OCTOBER 28, 2020
This article was published as a part of the Data Science Blogathon. Introduction Working on a Project on image recognition or Object Detection but. The post What is the Convolutional Neural Network Architecture? appeared first on Analytics Vidhya.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
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