Analytics Vidhya
JULY 27, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will help us understand the working behind K-means. The post Understanding K – Means Clustering WIth Customer Segmentation Usecase appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
JULY 28, 2021
Event data can be used to enhance existing processes, but it can also be used to dramatically impact operations, revenue models and the bottom line for manufacturers. Our Benchmark Research shows 95% of manufacturers consider it important to speed the flow of information and improve responsiveness within business processes. In this perspective I’ll share how manufacturers are working with event data to transform their organizations.
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Corinium
JULY 27, 2021
If companies weren't flexing their agility muscles before the pandemic, they certainly are now. Zendesk surveyed to help enterprise businesses stay ready, no matter what comes next. With original data and actionable insights from CX business leaders at 90,000 companies, this agility playbook will help enterprise stay ready, no matter what comes next.
Juice Analytics
JULY 25, 2021
Andy Raskin calls the following Zuora presentation “ the greatest sales deck I’ve ever seen.” Zuora Sales Deck from Ryan Gum Why’s it so great? It explains how a changing world will lead to winners and losers, and gives the customer a tease of how they can become a winner with the magic of the product. The weakness of this pitch is the evidence it provides to convince the audience that these things are true.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Analytics Vidhya
JULY 29, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.
DataKitchen
JULY 28, 2021
The post DataKitchen Wins Data & Analytics Vendor of the Year Award – OnConferences first appeared on DataKitchen.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Cloudera
JULY 30, 2021
Meet Vinicius Cardoso, better known as Vini. . He is a Sr. Solutions Engineer (SE) working in Australia. . In his role, customers are at the center of everything he does. Wearing the hat of Enterprise Architect, he dives deep to understand customer’s organization goals, initiatives and requirements in order to identify the key capabilities that need to be delivered. .
Analytics Vidhya
JULY 26, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Hi, all Analytics Vidhya readers. Hope you all are doing well. The post Predicting The Wind Speed Using K-Neighbors Classifier appeared first on Analytics Vidhya.
Dataiku
JULY 29, 2021
When shopping for kids’ clothes, you wouldn’t dream of buying anything that fits just right, or you risk finding yourself back at the store looking for the same item mere months later. You always think about a little growing room — sure, it has to be reasonably comfortable now, but it also needs to last. Buying an AI platform isn’t much different when it comes to that space for growth, and here’s why.
Smart Data Collective
JULY 27, 2021
Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives. This will be easier as advances in big data make this more possible.
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.
Cloudera
JULY 27, 2021
Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype.
Analytics Vidhya
JULY 26, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Monte Carlo simulation is a computational algorithm that makes use. The post A Guide To Monte Carlo Simulation! appeared first on Analytics Vidhya.
Dataiku
JULY 26, 2021
The race to ESG continues to accelerate in the financial services space. All major players have now taken firm commitments to embed Environmental, Social, and Governance (ESG) criteria in all their critical processes, with a strong focus on global warming management. The creation of the Net-Zero Alliance by 43 major banks including Société Générale, Citi, and Morgan Stanley and main insurance players including Aviva and Zurich insurance is yet another sign that the financial industry is getting
Smart Data Collective
JULY 27, 2021
We have talked in depth about the massive benefits of cloud technology for small businesses. There are a number of compelling reasons that businesses need to turn to cloud technology to develop a strong edge against the competition. This explains why the cloud technology market will grow by $287 billion over the next four years. There are a number of cloud computing applications that can help companies improve their bottom lines.
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.
Domino Data Lab
JULY 28, 2021
Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication.
Analytics Vidhya
JULY 27, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.
Dataiku
JULY 30, 2021
Exploratory Data Analysis, or EDA, can be both exhilarating and daunting. Exhilarating because you hold the world at your fingertips — it is exciting to look at a dataset for the first time and begin to imagine all of the interesting insights you might find. It is also extremely daunting to look at a dataset for the first time and not know where to start or worry if the path you decide to take will tell you anything useful at all.
Smart Data Collective
JULY 29, 2021
The race to embrace digital transformation is on and a lot of organizations are doing everything possible to ensure they digitize every piece of information; this is, however, putting at greater risks of cyber-attacks and data breaches. Taking into account that the global spend on digital transformation is projected to hit an astonishing $2.39 Trillion by 2024 , it’s obvious that data security challenges will hit new heights.
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Cloudera
JULY 29, 2021
HIMSS21 is just a few days away, and we hope you will join us to talk about how we can all achieve better health outcomes by working together. Health organizations across the world are evaluating safety precautions as COVID-19 cases continue to wax and wane and they consider universal questions such as, when is it safe to allow our administrative staff to return to the office, and how can we reassure our patients that we are committed to their health and safety?
Analytics Vidhya
JULY 26, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Any data point/observation that deviates significantly from the other observations. The post Anomaly detection using Isolation Forest – A Complete Guide appeared first on Analytics Vidhya.
Dataiku
JULY 28, 2021
Are you more of a remote worker who likes to focus at home or someone who thrives in the office chatting with your colleagues? Maybe you are both, exclusively one, or maybe it depends on the day! There is no right or wrong answer to this, just personal preferences that you and your employer need to be aware of. Right?
DataRobot
JULY 29, 2021
Have you ever asked a simple question, then unexpectedly received a complex answer? In my experience, this happened most often when dealing with lawyers and academics, but more recently I’ve noticed the same behavior coming from data scientists. Sometimes I just want a quick and simple explanation! What was your most hated subject at school? An AP-AOL news poll found that mathematics was the subject that 37% of Americans hated most during their school days, easily ranking as the most hated schoo
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.
Ontotext
JULY 27, 2021
ONTOTEXT ANSWER: Security automation is a fairly frequent task and forgetting an important password is an inevitability of life. Fortunately, both problems are really easy to solve using the default GraphDB security module. Security is controlled by the file settings.js. , located under./work/workbench in your GraphDB home directory. By default, this would be the root GraphDB installation directory.
Analytics Vidhya
JULY 30, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by Author | Photo by Shahadat Rahman | Elements. The post Creating Data Science Python Package using Jupyter Notebook appeared first on Analytics Vidhya.
Dataiku
JULY 26, 2021
When it comes to building a modern AI platform , we've said before that organizations shouldn’t spend time, energy and resources cobbling together tools across the AI lifecycle, which ultimately results in losing the larger picture of the full data pipeline (not to mention adds technical debt). Instead, investing in an end-to-end platform for AI provides advantages like cost savings from reuse, smoother governance and monitoring, the ability to focus on implementing high-impact technologies, and
FineReport
JULY 28, 2021
Data is knowledge, new oil, powerful weapon. Data is highly valued nowadays. Good data can give you keen insights, convincing evidence to make informed decisions. By observing and analyzing data, we can develop more accurate theories and formulate more effective solutions. For this reason, data science and/vs. business intelligence has become two buzzwords that represent some new trends in the scientific and business area. .
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.
DataRobot
JULY 27, 2021
Today we’re announcing two major milestones: the first is our Series G financing round co-led by Altimeter and Tiger Global with participation from other world-class public and private investors. Additionally, we’re announcing our acquisition of Algorithmia , a leader in MLOps. . An Unprecedented Market Opportunity. Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over.
Analytics Vidhya
JULY 25, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. Objective In this article, we will be predicting the prices. The post Car Price Prediction – Machine Learning vs Deep Learning appeared first on Analytics Vidhya.
Alation
JULY 26, 2021
Beginning a digital transformation journey in a big organization can feel daunting. This is not a simple or straightforward undertaking! How do you initiate change within a system containing many thousands of people and millions of bytes of data? It begins with recognizing a problem. During my time as a data specialist at American Family Insurance, it became clear that we had to move away from the way things had been done in the past.
Cloudera
JULY 27, 2021
I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. This is an important step for our company and for our telecommunications and media customers and partners, adding significant momentum and acceleration to our development of solutions for the industry.
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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.
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