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.

Technology 143

Technology Risk Machine Learning Software 143

Smart Data Collective

SEPTEMBER 15, 2020

The coronavirus has forever changed how companies operate. While many had already embraced remote collaboration tools to an extent, the need to quickly transition to a completely remote environment has been a challenge that’s caused plenty of disruptions across most industries. However, while the global pandemic has had a huge impact on businesses worldwide, it has also accelerated the adoption of modern collaboration solutions, which can actually have a positive effect on the way companies oper

Software 99

Software Visualization Technology Marketing 99

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.

Data Analytics 102

Data Analytics Analytics Big Data Data mining 102

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.

Machine Learning 400

Machine Learning Software Analytics 400

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

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.

Advertising 299

Advertising Cost-Benefit ROI Machine Learning 299

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.

ROI 195

ROI Enterprise Management Modeling 195

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.

Analytics 400

Analytics 400

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.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Dataiku

SEPTEMBER 17, 2020

Moving from one phase of AI maturity to the next is significantly easier said than done. In fact, a recent benchmarking study of senior executives in over 1,200 companies revealed how few organizations are truly advanced in their maturity — 20% are “beginners” in AI, 32% are “early implementers” starting to pilot AI and use simple applications, 33% are “advancers” using AI in key parts of their business and seeing gains, and only 15% are “leaders” widely using AI to drive tangible benefits.

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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.

Visualization 134

Visualization Big Data Cost-Benefit Data mining 134

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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?

Business Intelligence

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.

Analytics 398

Analytics Data Science 398

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.

Management 111

Management Cost-Benefit Manufacturing Machine Learning 111

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.

Deep Learning 105

Deep Learning Modeling IT 105

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.

Predictive Analytics 131

Predictive Analytics Analytics Predictive Modeling Data mining 131

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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.

Data-driven

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.

Deep Learning 392

Deep Learning Analytics Unstructured Data 392

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

Visualization 105

Visualization Metrics Statistics Optimization 105

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.

Visualization 105

Visualization Consulting Dashboards Reporting 105

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.

Optimization 115

Optimization Data Analytics Analytics Sales 115

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.

Marketing

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.

Optimization 386

Optimization Machine Learning Analytics Structured Data 386

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.

B2B 103

B2B Enterprise Data-driven Data Science 103

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.

Finance 98

Finance Risk Reporting Technology 98

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

Statistics 108

Statistics Software Reporting Management 108

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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.

Reporting

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.

Data Science 383

Data Science Management Analytics Big Data 383

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.

Digital Transformation 98

Digital Transformation Enterprise Sales Forecasting 98

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.

Reporting 98

Reporting Analytics Business Analytics Visualization 98

Smart Data Collective

SEPTEMBER 14, 2020

Big data is radically changing the future of online business. The benefits that it offers are abundantly clear. This Medium post highlights some of the reasons that big data is transforming the nature of e-commerce and other fields of online business. One of the biggest benefits is through personalized recommendations. Amazon receives around 35% of its business through recommendations it provides to customers.

Dashboards 99

Dashboards Data Analytics Analytics Big Data 99

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.

Business Intelligence

Analytics Vidhya

SEPTEMBER 16, 2020

Part 1 — Detailed steps from training a detector on a custom dataset to inferencing on jetson nano board or cloud using TensorFlow 1.15. The post TensorFlow Object Detection — 1.0 & 2.0: Train, Export, Optimize (TensorRT), Infer (Jetson Nano) appeared first on Analytics Vidhya.

Optimization 355

Optimization Analytics Unstructured Data Deep Learning 355

DataCamp

SEPTEMBER 14, 2020

Q&A with Sue Lai, VP of Product at DataCamp

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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.

Machine Learning 93

Machine Learning Data Warehouse Deep Learning Statistics 93

Smart Data Collective

SEPTEMBER 17, 2020

Data analytics has created new opportunities for employers and workers around the world. However, a growing emphasis on data has also created a slew of challenges as well. One of the biggest issues in healthcare is patient privacy. You can learn some insights from the study Patient Privacy in the Era of Big Data. Allowing employees to work remotely helps them set their own schedules and work from home.

Data Analytics 94

Data Analytics Analytics Big Data Data mining 94

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.

Data-driven