Analytics Vidhya
AUGUST 23, 2021
This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network. Training data helps the model learn […].
Rocket-Powered Data Science
AUGUST 22, 2021
For many years, organizations (mostly consumer-facing) have placed the “voice of the customer” (VoC) high on their priority list of top sources for customer intelligence. The goals of such activities are to improve customer service, customer interactions, customer engagement, and customer experience (CX) through just-in-time customer assistance, personalization, and loyalty-building activities.
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Dataiku
AUGUST 23, 2021
Robotic Process Automation (RPA) and Artificial Intelligence (AI) are two of the growing trends in technology, pushing new boundaries of how companies and businesses can transform their operations in an ever-increasingly digital world. In our previous blog post , we outlined the key differences between RPA and AI, as embracing either technology can help organizations to improve performance and reduce costs in different ways.
DataKitchen
AUGUST 27, 2021
DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. They will be able to produce high-quality, on-demand insight that consistently leads to successful business decisions.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
AUGUST 25, 2021
This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].
David Menninger's Analyst Perspectives
AUGUST 24, 2021
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
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
AUGUST 25, 2021
Artificial intelligence is one of the fastest-growing technologies. It grew 270% in just four years since more companies started noticing its benefits and adopted this technology. eCommerce businesses are no exception. Over 50 percent of them use AI for various purposes, like creating personalized services and automation. This article will share the basic concept of AI, including its definition, types, and current trends.
Analytics Vidhya
AUGUST 21, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Intro: In this article, I will walk you. The post Python Tutorial: Working with CSV file for Data Science appeared first on Analytics Vidhya.
Dataiku
AUGUST 25, 2021
We are taking a break on the AI regulation series to take a step back and clarify the connection between AI Governance, MLOps, and Responsible AI. These three concepts fall off the tip of the tongues of industry practitioners, researchers, and regulators alike, all without having clearly defined connections or boundaries. At Dataiku , we believe that these concepts are central pieces of being able to scale with AI.
Cloudera
AUGUST 21, 2021
There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants. As banks find their bearings in this landscape, what appear to be insurmountable odds are in fact opportunities for growth and competitive differentiation. .
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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?
Smart Data Collective
AUGUST 22, 2021
There are a lot of great things about living in an era governed by big data. Big data creates a lot of new opportunities in business and our personal lives. However, there are also downsides to the sudden influx of data in the 21st Century. One major concern is that big data has made identity theft risks more significant. Addressing the Risk of Identity Theft in a World Increasingly Dependent on Big Data.
Analytics Vidhya
AUGUST 23, 2021
This article was published as a part of the Data Science Blogathon Clustering The very first clustering algorithm that most people get exposed to is k-Means clustering. This is probably because it is very simple to understand, however, it has several disadvantages which I will mention later. Clustering is generally viewed as an unsupervised […].
Dataiku
AUGUST 24, 2021
Not everyone has the same level of technical expertise, and it can be easy to get intimidated by the processes and seemingly never-ending nuances of data science. Getting bogged down on necessary but tedious tasks — or complex ones in which you don’t have expertise — can consume valuable time.
Cloudera
AUGUST 22, 2021
Cloudera recently appointed a Cloud Director for Asia Pacific (APAC), Stevie Walsh, to help drive our hybrid and multi-cloud offerings in the region, supporting our customers in accelerating their digital transformation journey. We’ve asked her to share her cloud vision for Cloudera in APAC and the exciting plans that she has in her new position. What drew you to work in the cloud space?
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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.
Smart Data Collective
AUGUST 22, 2021
Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. One example is with software validation. Big data has been instrumental in the software development process. A number of software developers are using data analytics and machine learning technology to improve the quality of their products and expedite the development of their applications.
Analytics Vidhya
AUGUST 22, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.
DataRobot
AUGUST 25, 2021
In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process. In each of these categories is a set of dimensions of trust.
Cloudera
AUGUST 24, 2021
Meet Barnabas Maidics. . Barnabas is a 3 year Clouderan working as a Software Engineer in Hungary. . Having started his journey at Cloudera as an intern and then making his way to the Data In Motion team, Barnabas feels his first experience in the real world of work has allowed him to grow, not only professionally but on a personal level as well. He’s always known this was the career path for him.
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.
Smart Data Collective
AUGUST 22, 2021
Data privacy is a growing concern for people all over the world. Many people have become cynical about data privacy. Sixty-two percent of people told Pew Research that they don’t think it is possible to go through life without companies collecting their personal data and 63% said the same about the government collecting their data. However, most people still express their desire to prevent them from doing so.
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction To use LRU caching in Python, you just need to add two lines – import and declaration of the @lru_cache decorator. We show with examples how and why to use it. Caching is one approach that, if used correctly, significantly speeds up work […]. The post Caching in Python: the LRU algorithm appeared first on Analytics Vidhya.
Depict Data Studio
AUGUST 24, 2021
I recently had the chance to be on the Community Possibilities® podcast with Ann Price. Ann owns Community Evaluation Solutions and helps community leaders plan and evaluate strategies to create lasting change. She started the podcast as a way to connect with community leaders to talk about root causes, dig deeper into understanding social and health inequities and to connect by talking with each other instead of at each other.
Cloudera
AUGUST 25, 2021
In this edition of Partner Perspective, Cloudera’s own Rachel Tuller sits down with Craig Smith, Vice President of Data, AI and IoT at Tech Data. They discuss the importance of business partnerships, the pandemic’s impact on the tech industry, and Craig’s predictions about the industry going forward. Tech Data is one of the largest technology distributors globally.
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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.
Smart Data Collective
AUGUST 24, 2021
Analytics technology has helped improve financial management considerably. It is important to know how to use data analytics to improve your budget, cut costs and make sound investment decisions. One way to use analytics is to invest in cryptocurrencies more wisely. You can find some great ways to identify trends in the cryptocurrency industry. However, you can also identify the best digital currencies to invest in.
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction Churn prediction is probably one of the most important applications of data science in the commercial sector. The thing which makes it popular is that its effects are more tangible to comprehend and it plays a major factor in the overall profits earned […]. The post Churn Prediction- Commercial use of Data Science appeared first on Analytics Vidhya.
Sisense
AUGUST 24, 2021
Blog. A 2021 McKinsey study showed that overall use of telehealth and health-and-pharma apps during the COVID-19 pandemic rose as much as 38 times over previous figures, yet patients remain unenthusiastic about pharma apps. Pharma companies can change the direction of these trends. Taking a cue from personalized medicine and making judicious use of embedded pharma analytics can evolve apps to help practitioners deliver better care and patients achieve better outcomes.
Teradata
AUGUST 26, 2021
As Back to School promotions hit the shelves, Christmas & New Year offers are already locked in. Are these long-lead cycles still effective in today’s dynamic Retail & CPG environment?
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.
Smart Data Collective
AUGUST 22, 2021
Cryptocurrencies are undoubtedly the rave of the moment. There are stories all over the internet about how crypto made someone a millionaire overnight. However, the crypto market experienced a significant downtrend recently with prices plummeting as low as 30% from peak prices in a matter of days. This has raised questions about the future of cryptocurrency investments.
Analytics Vidhya
AUGUST 27, 2021
This article was published as a part of the Data Science Blogathon Introduction Dash is an open-source web framework for creating analytical dashboards and data visualizations. It helps data analysts to deploy dashboards and serve these dashboards to the main web application. Dash constitutes of three technologies: 1. Plotly.js- It is used for creating beautiful charts […].
DataRobot
AUGUST 27, 2021
Organizations in different industries use artificial intelligence (AI) , machine learning , and data science to uncover deep insights about their processes and procedures that help them make predictions to allocate resources and increase productivity. These same benefits could also help universities better serve their students and protect their bottom line.
Cloudera
AUGUST 25, 2021
COVID-19 vaccines were developed in record time. One of the main reasons for the accelerated development was the quick exchange of data between academia, healthcare institutions, government agencies, and nonprofit entities. “COVID research is a great example of where sharing data and having large quantities of data to analyze would be beneficial to us all,” said Renee Dvir, solutions engineering manager at Cloudera.
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.
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