Thu.Nov 18, 2021

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3 Trends in Financial Services and AI for 2022

Dataiku

Many of you reading this will either have first-hand experience with the challenges of achieving data-driven success within financial firms or will have a reasonable concern that such success will not come easily to your organization. It is certainly true that finding actionable insights within your organizations — and then actually taking meaningful action based on those insights — is not a trivial matter.

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Here’s How to use Sankey Diagrams for Data Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Sankey Diagram for Data Visualization Very often, we are in a situation where we would have to visualize how data flows between entities. For example, let’s take the case of how residents have migrated from one country to another within the […]. The post Here’s How to use Sankey Diagrams for Data Visualization appeared first on Analytics Vidhya.

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Where NLP is heading

KDnuggets

Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.

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A Quick Tutorial on Clustering for Data Science Professionals

Analytics Vidhya

This is article was published as a part of the Data Science Blogathon. Welcome to this wide-ranging article on clustering in data science! There’s a lot to unpack so let’s dive straight in. In this article, we will be discussing what is clustering, why is clustering required, various applications of clustering, a brief about the […].

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Build a Serverless News Data Pipeline using ML on AWS Cloud

KDnuggets

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

Big data is no longer a luxury for businesses. It is a vital to any company that wants to succeed in all but the least competitive markets. In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation.

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Understanding the Importance of AI in 3D Printing Applications

Smart Data Collective

Artificial intelligence has had a massive influence on the future of the manufacturing sector. Manufacturers spent over $1.1 billion on AI in 2020. That figure is likely to rise much higher in the near future. One of the biggest reasons manufacturers are investing in AI is that it has led to new advances in automation. We covered this briefly in our article about the role of AI in the evolution of robotics in manufacturing.

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From Disparate Data to Visualized Knowledge Part I: Moving from Spreadsheets to an RDF Database

Ontotext

It’s a dangerous business, putting your product to market. You step onto the market, and if you don’t keep your data, there’s no knowing where you might be swept off to. [1]. Picture this – you start with the perfect use case for your data analytics product. You make a great pitch and you sell well. Maybe a little too well. Because now you have many clients.

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Data Scientists: How to Sell Your Project and Yourself

KDnuggets

Follow this formula for the perfect elevator pitch.

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Deep Learning Introductory Guide | Domino Data Science Blog

Domino Data Lab

Phrases like deep learning and neural networks may be synonymous with artificial intelligence in the public’s minds, but for the data science teams that work with them, they are a breed of their own. Behind the dashboards of self-driving cars and below the online apps we use every day are a series of complex, interweaving algorithms that were inspired by the neurobiology of the human brain.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions

KDnuggets

To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. Learn how to transform the ‘currency’ of data into actionable business insights.

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A Detailed Guide To Transfer Learning and How It Works | Domino

Domino Data Lab

For data science teams working with inadequate data or too much data and not enough time or resources to process it, transfer learning can represent a significant shortcut in machine learning model development. Most often associated with deep learning and neural networks, it’s also being used in place of traditional machine learning training techniques as a method of accelerating development.

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Where NLP is heading

KDnuggets

Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.

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What Is Reinforcement Learning? | Domino Data Science Blog

Domino Data Lab

When you do something well, you’re rewarded. This simple principle has guided humans since the beginning of time, and now, more than ever before, it is the key principle behind a growing number of reinforcement learning (RL) agents within the technologies we use and rely upon every day.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Build a Serverless News Data Pipeline using ML on AWS Cloud

KDnuggets

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

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Weaving Architectural Patterns II – Data Lakehouse

Data Virtualization

In my previous post, I described the data fabric architectural pattern. Before turning to the data lakehouse, let’s first look at what I mean by an architectural pattern. The Power of a Pattern An architectural pattern, or logical architecture, describes. The post Weaving Architectural Patterns II – Data Lakehouse appeared first on Data Virtualization blog.

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Accenture Completes Acquisition of BRIDGEi2i

bridgei2i

BENGALURU, India; November 19, 2021. Accenture (NYSE: ACN) has completed its acquisition of BRIDGEi2i , an artificial intelligence (AI) and analytics firm headquartered in Bengaluru, India. The financial terms of the transaction were not disclosed. The acquisition, announced last month, strengthens Accenture’s global capabilities in data science, machine learning and AI-powered insights, and adds more than 800 deeply skilled professionals to Accenture’s Applied Intelligence practice.

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Weaving Architectural Patterns II – Data Lakehouse

Data Virtualization

In my previous post, I described the data fabric architectural pattern. Before turning to the data lakehouse, let’s first look at what I mean by an architectural pattern. The Power of a Pattern An architectural pattern, or logical architecture, describes. The post Weaving Architectural Patterns II – Data Lakehouse appeared first on Data Virtualization blog.

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Reimagined: Building Products with Generative AI

“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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Cameron Chell: How Drones Link AI and Human Intelligence

DataRobot

Cameron Chell joined Ari Kaplan, Global AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the relationship of drones, AI , and human intelligence now and in the future. CEO of Draganfly, considered the oldest commercial drone company in the world, Cameron Chell first heard about the small Canadian company while advising police departments about drones.

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Data Scientists: How to Sell Your Project and Yourself

KDnuggets

Follow this formula for the perfect elevator pitch.

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Google Cloud and Nutanix Frame Partner to Offer Education Flat-Rate Bundles for Easy and Affordable Hybrid Learning Capabilities

Nutanix

Nutanix has partnered with Google Cloud to bring GCP flat-rate education bundles to U.S.-based educational institutions, helping to access and make use of hybrid cloud offerings in a budget-friendly way.

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eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions

KDnuggets

To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. Learn how to transform the ‘currency’ of data into actionable business insights.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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The vaccination laggards may not all be anti vax – the data tells us there could be other factors at play.

Data Insight

By Neil Bryant, Head of Analytics, Data Insight.

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10 DataOps Principles for Overcoming Data Engineer Burnout

DataKitchen

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Data from New Vantage partners showed that the number of data-driven organizations has actually declined to 24% from 37% several years ago and that only 29% of organizations are achieving transformational outcomes from their data. .

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Nutanix Works with NVIDIA to Unify Accelerated Computing with Hyperconverged Infrastructure

Nutanix

In his GTC keynote, NVIDIA CEO Jensen Huang highlighted the progress of the NVIDIA BlueField DPU to offload, accelerate, and isolate data center infrastructure. Nutanix is proud to collaborate with NVIDIA to drive innovation and unite accelerated computing with hyperconvergence in a unified platform.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. Not ones to shy away from a challenge, our expert judges have deliberated and combed through the finalist entries, identifying the customers who are leading industry change and inspiring peers with their data achievements.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Better Budgeting, Planning, and Forecasting With Bizview D365BC Connector

Jet Global

Working Smarter. In any industry, the old adage “work smarter, not harder” can be beneficial to your overall performance. Improving your productivity and efficiency while lowering stress and making your tasks and responsibilities easier is the goal to working smart. This applies to collaborative planning, budgeting, and forecasting, which, without the right tools, can be daunting on its best day.

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The 5 S&OP Maturity Levels – Where do you stand and how do you get to the next level?

Jedox

What does maximum maturity mean in the 5-step Gartner Sales & Operations Model and how do you get there? Specialist smartPM.solutions has the answer and shares their solution with you in this article. Improving and optimizing company processes requires you to evaluate your status quo. In the following, we describe different maturity levels (see Figure 1) and ask you to consider which stage best aligns with the current status of your S&OP company processes.

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Alation Announces 2021.4 Release: Interview on Column-Level Lineage with Jason Ma, Senior Director of Product Management

Alation

Talo Thomson, Head of Content Marketing, Alation: Hi Jason, thanks for taking the time to speak with me. Which 21.4 update are you most excited about? Jason Ma, Senior Director of Product Management, Alation: Of course, Talo, happy to speak with you. With this release, we’ve made some nice enhancements to our data lineage capabilities. We’ve invested in two areas to help our customers get more lineage into the data catalog.