Thu.May 12, 2022

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Implementing Data Governance in the Manufacturing Industry

Alation

Every company is a technology company. Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. With so much economic uncertainty, coupled with the unrelenting advance of “Industry 4.0” technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions.

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Get to Know Apache Flume from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The Apache Flume tool is designed mainly for ingesting a high volume […]. The post Get to Know Apache Flume from Scratch!

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Deep Learning For Compliance Checks: What’s New?

KDnuggets

By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

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Top 8 predictive analytics tools compared

CIO Business Intelligence

Do you want to know what the future may bring? Predictive analysis tools have an answer. Are they right? Sometimes. But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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5 Free Hosting Platform For Machine Learning Applications

KDnuggets

Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

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Oracle integrates CDP data in Fusion Cloud for better customer service

CIO Business Intelligence

In a bid to cater to enterprise efforts to improve customer experience and engagement, Oracle is enabling integration of data from company’s Unity Customer Data Platform into its customer service offering, dubbed Oracle Service. Oracle Service and the Unity CDP are part of the company’s Fusion Cloud Customer Experience (CX) offering. Oracle Service comes with the ability to automate processes, predict the need for service, and deliver tailored responses, the company said.

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D-Wave puts a third quantum computer in the cloud

CIO Business Intelligence

While viable general-purpose quantum computing is still a way off, D-Wave Systems has just deployed its third cloud-based quantum annealing system and has updated its coding tools to tackle new categories of enterprise optimization problems. Like its predecessors, D-Wave’s third Advantage system can be accessed via D-Wave’s own Leap quantum cloud or, beginning May 12, AWS’s Amazon Braket service.

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Insurance Claims Modeling With GLM: A Modern Approach

Dataiku

Estimating risk is the essential ingredient to determine the price of an insurance policy. The estimated risk of an insurance policy is the minimum price an insurer should quote to be breakeven, therefore evaluating this risk with precision and confidence is the foundation of a robust quoting system. For decades, actuaries have used statistical models to predict the risk of losses or damages to calculate an insurance price.

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How to Pick the Right Technology to Enable the Remote Workforce

CIO Business Intelligence

Protecting data and monitoring user behavior used to be relatively simple when everyone was behind the corporate firewall. However, in the new world of cloud computing and hybrid workforces, some basic practices and assumptions need to be revisited. For example, more people now need access to sensitive business data while working from home, on public computers, and via their mobile devices.

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Can We Query a Table with T5?

KDnuggets

Learn how to tune a large language model.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Do your analysts have the permission to ask the why behind the what?

Aryng

In the last blog in the start-up readiness series, titled “Too many tickets and fewer resources,” we discussed building an analytics agenda that would help the data and analytics resources to focus on solving the highest value problems instead of going on a wild goose chase. We worked through the example of the food delivery […] The post Do your analysts have the permission to ask the why behind the what?

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CIAM Balancing Act: Security vs. Customer Experience? Which Should Win in Today’s Landscape?

CIO Business Intelligence

Over the last few years, consumers across all industry verticals became increasingly comfortable and satisfied with digital experiences. According to a survey by Telus International, over 70% of Americans plan to continue shopping, banking and engaging in e-health and wellness activities [1]. Simultaneously, a Norton report showed that consumers expressed concerns over data privacy and security, with 58% of adults saying that they are more worried than ever about being a victim of cybercrime [2]

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How CDOs Can Prove The Value & Importance of Their Work

Anmut

Chief Data Officer. CDO. The title sounds quite glamorous, conjuring up images of highly-respected, world-changing tech executives in fancy corner offices. In reality, it’s a tough, sometimes thankless role. CDOs often start their tenure being welcomed as heroes swooping in to solve a long list of organisational data problems. Unfortunately, high expectations and lack of clarity around what success looks like make it difficult for newly-appointed data leaders to make a lasting impact.

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Best pathways to multi-cloud success

CIO Business Intelligence

Multi-cloud sounds simple, but, without a unifying strategy, implementing multiple cloud services can result in added complexity. That strategy starts with clear objectives and culminates with best practices to maximize goal achievement. Multi-cloud adoption promises broad access to vital services such as app modernization, unified security, advanced data services, and unified operations.

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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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Trusted AI for Homeland Security

DataRobot Blog

Artificial Intelligence (AI) is transforming the world from customized recommendations to more efficient financial decisions. In the public sector , AI has the power to tackle the government’s toughest homeland security missions in a responsible manner. DataRobot is a proud partner enabling governments and organizations to face their unique challenges and leverage AI for value they can trust.

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Veteran CIO Neal Sample: All architecture is wrong

CIO Business Intelligence

With a career journey spanning digital native companies such as Yahoo and eBay as well as big established brands like American Express, Express Scripts, and most recently Northwestern Mutual, Neal Sample’s unique combination of strengths and interests stands out. He received a PhD in Computer Science from Stanford, so he’s comfortable diving into the deep end as a technologist.

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Business analytics in the age of disruption

IBM Big Data Hub

The 2020s have quickly been established as the age of the unexpected. Following the impacts of the COVID-19 pandemic, organizations still find themselves needing to navigate unpredictable external forces that are largely out of their control, including labor disruptions, supply chain shortages, rising inflation and increased regulation. To navigate this constantly disrupted world, clients need more data, more collaboration and more assurances that they can act at the speed of business without ri

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Real-Time Data at Verizon: It’s as Critical as Air

CIO Business Intelligence

By Reed Peterson, Field CTO, Telecom, DataStax. Efficiency, speed, growth, and excellent user experiences. These are goals that digital enterprises strive for regardless of industry segment. In the hyper-competitive telecommunications market, companies that don’t achieve these superlatives risk being left in the dust by competitors. It’s one thing to deliver performance and new services that impress customers, but doing so at the scale of one of the largest wireless carriers in the world and at

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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.