Wed.Nov 25, 2020

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Inclusion – the glue for diversity

Cloudera

In my last post , I’ve shared that true workplace diversity extends beyond gender parity. The goal should instead be cognitive diversity, which includes diversity of thinking, perspective, and intellectual style. Having a variety of thoughts and opinions can increase organizational effectiveness to help companies improve and grow. . However, leaders also need to understand that diversity should not be a tick-the-box program.

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What is Big Data? A Quick Introduction for Analytics and Data Engineering Beginners

Analytics Vidhya

Overview: Learn what is Big Data and how it is relevant in today’s world Get to know the characteristics of Big Data Introduction. The post What is Big Data? A Quick Introduction for Analytics and Data Engineering Beginners appeared first on Analytics Vidhya.

Big Data 387
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Will COVID-19 Show the Adaptability of Machine Learning in Loan Underwriting?

Smart Data Collective

Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. One of the most significant changes brought by advances in machine learning is with the loan underwriting process.

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Words that matter! A Simple Guide to Keyword Extraction in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Unstructured data contains a plethora of information. It is like energy. The post Words that matter! A Simple Guide to Keyword Extraction in Python appeared first on Analytics Vidhya.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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How Pharmaceutical Companies Can Continuously Generate Market Impact With AI

Dataiku

Total spending on AI-related drug discovery and development tools is expected to hit $1.3 billion in 2022, according to Boston Consulting Group. These are massive numbers and, while true that research and discovery are a key part of the life sciences and pharmaceuticals value chain, data science, machine learning, and AI can play a valuable role across its entirety.

Marketing 105
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Classification Model Simulator Application Using Dash in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Build an app and bring data to life !!!! Dash as. The post Classification Model Simulator Application Using Dash in Python appeared first on Analytics Vidhya.

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FastAPI: The Right Replacement For Flask?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After you are done with model building and proper hyperparameter tunning, The post FastAPI: The Right Replacement For Flask? appeared first on Analytics Vidhya.

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Sirius Earns 2020 CRN® IoT Innovators Award

CDW Research Hub

Sirius Recognized for Innovative IoT Solutions. San Antonio, TX – 16 November, 2020 — CRN ® , a brand of The Channel Company , has recognized Sirius as one of its 2020 IoT Innovators Award winners. The fourth annual IoT Innovators Award recognizes the top 25 solution providers and systems integrators across North America who operate on the vanguard of IoT innovation and development.

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Creating Linear Model, It’s Equation and Visualization for Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever been tasked with visualizing the relationship between each. The post Creating Linear Model, It’s Equation and Visualization for Analysis appeared first on Analytics Vidhya.

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On-Prem vs. Cloud: What You Need to Know About Migrating to Azure

CDW Research Hub

Gone are the days where the cloud is referenced as “becoming” an essential stepping stone in companies’ digital transformation journey. The time is already here—and it’s no longer an option. Cloud technologies are currently at the center of the digital transformation revolution, and companies that have not adopted a cloud mentality are being left behind in yesterday’s digital stone age.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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What are Enterprise AI Tools? How to Use AI Tools in an Enterprise?

bridgei2i

Artificial intelligence (AI) is the process in which the machines and software solutions are created to be smarter and think as humans do. These smart machines were to replace humans and be more efficient at the job. Robotics, driverless cars, etc. are some famous examples of AI. Though we are yet to fully tap into the potential of AI, the applications are doing their bit to help employees complete their work faster.

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3 Steps to Faster Insights in Data Analytics

Data Virtualization

In recent years, we have seen wide adoption of data analytics. However, most organizations continue to find it challenging to quickly yield actionable insights. Some issues that have been most often cited for this include: Poor data quality: While preparing.

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How AI for Talent Acquisition is Helping Talent Management

bridgei2i

AI has found its place in almost every organization or business and has finally surrounded us in every aspect of our life – from the shopping experience to the automatic recruitment process. With the advancement in technology, even Human Resource (HR) departments in most of the organizations have started believing in AI for talent management as it not only helps in recruitment but also has the ability to increase acquisition and retention.

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post. Key Findings. The shift in the IRM buyers from IT leaders to business leaders is being driven by an increasing need to better understand the tactical view of technology risks in a strategic bu

Marketing 110
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Supply Chain Data Science in Artificial Intelligence

bridgei2i

There was a time when the concept of AI was only used in sci-fi movies, but now, it has become part of our daily lives. We can realize the presence of AI in every industry across the globe. Besides this, the technology has become essential for almost every business, as it helps organizations produce better outcomes. Almost every other business in the market is relying on the technology overseeing its potential to enhance everyday business activities.

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Best 10 Dashboard Reporting Tools You Can’t Miss

FineReport

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it. This article will review the best 10 dashboard tools covering different areas, including open source and free software.

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Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

Automated Sales & Underwriting Strategies can Transform Insurance. As the world witnessed unemployment, lockdowns, travel bans, and business interruptions, economies came to a grinding halt in different geographies. One of the major repercussions of the COVID-19 pandemic in financial sectors has been the increase in awareness about insurable risks across categories and markets.

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How Spreadsheet Server Can Help Viewpoint Customers Optimize Their Reporting

Jet Global

If you work in a finance team within a construction business, it’s likely your main goals are to reduce risk, improve profitability, and maintain exceptional levels of compliance. To fulfil these needs, you need direct access to accurate data from your ERP, and the ability to quickly create drillable Excel reports for GL and other finance requirements.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

I met Matthew in New York City about a year ago. We sat in a private conference room and he told me the story of his pharma startup. A small group of researchers set out to solve the black-box enigma of certain kinds of vicious cancers. There are so many cancers, so their vision was to focus on especially heinous ones. Fast forward to their recent FDA approval of their “Hail Mary” procedure and treatment methodology for stage-four patients of a particular cancer.

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How Do Businesses Use AI to Enhance the Performance of CRM in Sales Management?

bridgei2i

Artificial intelligence (AI) is the process of turning machines smarter by using advanced software. AI has been in the market for a while. But it wasn’t until the last few years, or more specifically, the last 3-4 years that AI began to attract more attention. Despite various misgivings, enterprises are taking the plunge and are willing to adopt AI-powered software and tools to improve their business processes.

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Types of Digital Transformation Processes Businesses Should Understand

bridgei2i

We live in a constantly changing world. Nothing will remain the same for long. Enterprises and employees alike need to accept the change and adapt to it if they want to stay relevant in the competitive market. Changing technology can either disrupt a business or bring about new opportunities. In many cases, both happen, and that too simultaneously. Among the various changes that are taking place in the market, digital transformation is the biggest and fastest one.

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Industrial Revolution and AI impact on business

bridgei2i

With the advancement in technology, Artificial intelligence has now become the buzzword for the growth of every business. Since the past few years, AI besides benefitting the business and organizations has also made its presence felt in the homes with AI-driven devices such as Alexa, Siri, etc. From enhanced shopping experience, Google search, Facebook suggested articles, to Netflix recommendations, AI impact on business can be witnessed in many spheres.

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Understanding User Needs and Satisfying Them

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.