Analytics Vidhya
SEPTEMBER 17, 2020
Introduction A virtual assistant, also called an AI assistant or digital assistant, is an application program that understands natural language voice commands and completes. The post How to create your AI Virtual Assistant using Python appeared first on Analytics Vidhya.
O'Reilly on Data
SEPTEMBER 15, 2020
AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals. These goals depend on who the stakeholder is; in other words, the person or company receiving the benefits.
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Corinium
SEPTEMBER 15, 2020
Establishing ROI for customer experience (CX) program is one of the greatest challenges that CX practitioners face in the 2020 experience landscape. Across all businesses, the C-Suite leadership team is looking to validate programs by asking one question: what is the financial impact of my CX investment? Our partners at InMoment have collected the most common questions from CFOs to give you a guide on how to communicate the impact of your customer experience program to your C-Suite team.
erwin
SEPTEMBER 17, 2020
Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Critically, it makes it easier to get a clear view of how information is created and flows into, across and outside an enterprise. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.
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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?
Analytics Vidhya
SEPTEMBER 14, 2020
Overview Pandas is the Swiss Army Knife of data preprocessing tasks in Python but can be cumbersome when dealing with large amounts of data. The post All Aboard the Pandas Express – How to Speed up Data Preprocessing using Pandas in Python appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 17, 2020
Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. These terms are fundamentally tied predominantly to matters involving digital transformation as well as growth in companies. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Cloudera
SEPTEMBER 14, 2020
Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Data architects deal with constantly evolving workloads and business analysts must balance the urgency and importance of a concurrent user population that continues to grow.
Analytics Vidhya
SEPTEMBER 16, 2020
Introduction Monitoring of user activities performed by local administrators is always a challenge for SOC analysts and security professionals. Most of the security framework. The post Machine Learning in Cyber Security — Malicious Software Installation appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 14, 2020
There is a common misconception prevalent amongst businesses that cyberattacks , and data breaches only target large scale enterprises. This is not true as almost half of the cyberattacks target small to midsize businesses. This misconception prevents businesses from taking data breaches and cybersecurity attacks seriously. They not only ignore it but also do nothing to protect themselves from it.
Dataiku
SEPTEMBER 18, 2020
There are many libraries out there to help people build deep learning Applications, but one API stands out from the rest when it comes to using state-of-the-art models from the latest architectures with minimal code: Google’s Tensor2Tensor. I used this library to make Translators using advanced new neural net architectures, specifically the Transformer , with hardly any code.
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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.
Depict Data Studio
SEPTEMBER 15, 2020
In 2016, I met evaluator extraordinaire Dana Wanzer at a national conference. We’d originally connected on Twitter and this was our first-time meeting in person. Side note: If you’re on the fence about joining social media… Social media can be the first step towards forging long-lasting friendships with colleagues. Go for it! In addition to her career as an evaluator, and her busy teaching schedule as a professor, Dana recently launched the EvaluLand podcast.
Analytics Vidhya
SEPTEMBER 17, 2020
Introduction When working on a machine learning project, you need to follow a series of steps until you reach your goal, one of the. The post Alternative Hyperparameter Optimization Technique You need to Know – Hyperopt appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 17, 2020
Data precision has completely revamped our understanding of geography in countless ways. We also use big data to facilitate navigation. One of the tools that utilizes big data is Google Maps. Anish Nahar of Harvard Business School has gone so far as to state that Google Maps is the world’s most expansive big data machine. Google has expanded the range of features that it provides through Google Maps these days.
Cloudera
SEPTEMBER 17, 2020
For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estima
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.
Jet Global
SEPTEMBER 18, 2020
COVID-19 introduced an unprecedented level of volatility in world markets, and the shockwaves that arrived in its wake exposed a wide chasm between two main types of multinational organizations: Those with agile internal processes and those without. In a world built on complex and globalized supply chains, COVID-19 tested that internal agility, sometimes to breaking point.
Analytics Vidhya
SEPTEMBER 15, 2020
Overview Indexing is MongoDB – a key aspect to managing and executing your database queries efficiently in data science Learn how indexing works in. The post Learning Database for Data Science Tutorial – Perform MongoDB Indexing using PyMongo appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 16, 2020
Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.
Cloudera
SEPTEMBER 17, 2020
Announcing the finalists of the Data Impact Awards is always a highlight in our annual Cloudera calendar, and this year is no different. The 2020 entrants have shown incredible data-driven innovation, problem-solving ability and have proven real-world impact. . Our independent judges certainly had their jobs cut out for them, as they were faced with an overwhelming number of outstanding entries.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
bridgei2i
SEPTEMBER 16, 2020
PODCAST: AI for the Digital Enterprise. Episode 6: US Firms Eyeing AI-led Digital Transformation for Growth. Listening time: 13 minutes. US Firms Eyeing AI-led Digital Transformation for Growth. After two consecutive quarters of revenue loss and a cautiousness to invest due to uncertain market scenario, some businesses in the US are trying to leverage new datasets for better demand forecasts, and therefore pass those inputs for supply chain efficiencies and offer better customer experience.
Analytics Vidhya
SEPTEMBER 13, 2020
Overview Learn how to build an accurate forecast in Excel – a classic technique to have for any analytics professional We’ll work on a. The post How to Build a Sales Forecast using Microsoft Excel in Just 10 Minutes! appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 17, 2020
Big data is utilized in many facets of business. One of the most important benefits of data analytics with lead generation and optimization. Many experts agree that big data is reinventing the art of lead generation. There are a number of benefits of integrating data analytics into the lead pipeline. You need to know how to leverage your data resources to your full advantage.
Paul Turley
SEPTEMBER 15, 2020
Writing this blog series while juggling other commitments has brought me to two realizations: 1. Posting articles in the series will be sporadic, and 2. The topics will be in fairly random order based on the projects I'm working on and the topics that are most top-of-mind at the time. This brings me to the subject of this post: Paginated and Analytic reports.
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.
Sanjeev Mohan
SEPTEMBER 14, 2020
The boundaries between data management and advanced analytics are blurring fast. Databases are enhancing capabilities to build, train and validate machine learning models right where the data sits – inside the databases and data warehouses. When the ML operations and the data-preparation are in separate artifacts, the round-trip for investigative analytics is long and ponderous.
Analytics Vidhya
SEPTEMBER 16, 2020
Introduction Hey there! Just finished another deep learning project several hours ago, now I want to share what I actually did there. So the. The post Pneumonia Detection using CNN with Implementation in Python appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 13, 2020
Big data is becoming more important to modern marketing. You can’t afford to ignore the benefits of data analytics in your marketing campaigns. It is especially important when it comes to SEO. Search Engine Watch has a great article on using data analytics for SEO. This article is a great resource for SEO professionals that want to develop a more data intensive strategy.
Teradata
SEPTEMBER 14, 2020
The game had changed for the retail sector long ago – but it has taken the COVID-19 crisis for people to notice. A new appreciation for the role of data in retail has emerged.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
TDAN
SEPTEMBER 16, 2020
Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES. Key terms such as these actually mean very different […].
Analytics Vidhya
SEPTEMBER 17, 2020
Overview Data science hackathons are a great way to test, improve and build your data science skillset Hear from top data science experts like. The post 5 Must-Watch Talks Before your Next Data Science Hackathon (featuring SRK, Dipanjan Sarkar, and more!) appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 17, 2020
Would your business benefit from the use of data analysis? In this article, we discuss what this practice is, how it is done and why you might require its use. This should help you to decide whether it is right for you and your organization. What is Data Analysis? The term data analysis refers to the recovery of useful information from data. The information in question may relate to internal operations, and productivity, consumer preferences and behavior, product use or popularity along with wid
FineReport
SEPTEMBER 17, 2020
What is a Self-service Reporting? With the growing amount of data in business, data reporting and analysis are complicated. IT departments face challenges in collecting the reporting requirements from different departments and building multiple reports that meet different roles’ needs. At the same time, business people’s decision making depends on the speed and quality with which the IT department develops reports and is often tied to the IT department’s schedule.
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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