Thu.Apr 28, 2022

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5 tips for making hybrid work in IT

CIO Business Intelligence

When COVID-19 hit, IT had to adjust its internal processes and procedures, logistics, and security policies at the same time it was helping the rest of the organization pivot to a full work-from-home environment. Then, adding additional complexity to an already difficult situation, along came The Great Resignation, where many employees, particularly baby-boomers, decided not to return to work. .

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An End-to-End Guide on Time Series Forecasting Using FbProphet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. […]. The post An End-to-End Guide on Time Series Forecasting Using FbProphet appeared first on Analytics Vidhya.

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Salesforce extends Flow automations across Mulesoft, Slack and Tableau

CIO Business Intelligence

Salesforce is expanding its process automation tool Flow to enable a wider range of workflows and process automations to be built and triggered from across its large family of enterprise applications. Announced in 2021, Flow is a low-code tool which initially consolidated various process automation and workflow tools for Salesforce users to build workflows between the various parts of the Salesforce suite.

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ETL & ELT – Data Engineering Essentials

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction At the highest level, ETL converts your data before uploading, while ELT converts data only after uploading to your repository. In this post, we will take a closer look at the differences between the way ETL and ELT work to help you […]. The post ETL & ELT – Data Engineering Essentials appeared first on Analytics Vidhya.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Can Biden’s Executive Order Secure the Software Supply Chain?

CIO Business Intelligence

Conformity. Attestation. Artifacts. If you want to sell products powered by software to the federal government, you need to get familiar with those terms. You’d also better be prepared to comply with what they require. Because if you don’t, federal agencies will eventually be banned from buying from you, by executive order (EO) of President Biden. Don’t panic.

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Connecting the Knowledge Ecosystem

KDnuggets

We’re proud to announce that the 4th annual Knowledge Graph Conference is taking place on May 2-6 at Cornell Tech, NYC and virtually on Airmeet.

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More Trending

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Why You Need To Learn Python In 2022

KDnuggets

If you don’t already know a programming language, or if you’re deciding to choose another language, have a read and see if Python is for you.

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Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

auxmoney began as a peer-to-peer lender in 2007, with the mission of improving access to credit and promoting financial inclusion. Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. This approach has seen auxmoney becoming Europe’s largest credit marketplace and leading digital-lending platform for consumer credit in just 15 years. .

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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

Data agility, the ability to store and access your data from wherever makes the most sense, has become a priority for enterprises in an increasingly distributed and complex environment. The time required to discover critical data assets, request access to them and finally use them to drive decision making can have a major impact on an organization’s bottom line.

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Best Practices for Managing Content Sprawl in the Era of Remote Work

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software. The rapid shift to remote work that has taken place over the past two years reshaped the way many companies think about digital transformation. While remote work has ushered in numerous benefits and the hybrid world is here to stay, it has also created new challenges for IT teams to overcome. According to The Washington Post , the transition to permanent remote models is even more disruptive than the shift to all-remote work.

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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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The Key Principles of MLOps and Their Application in Manufacturing

Dataiku

Upon witnessing the success of DevOps, the analytics community quickly realized the opportunity for a similar application of practices into analytics work — enter MLOps, a way that data teams and analytics teams alike can benefit from the automation of model deployment and integration. Organizations now face the new challenge of defining and navigating this wellspring of opportunity.

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5 Key Considerations When Starting an Automation Project

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software. The allure of automation to improve business processes and make more meaningful connections with customers continues to draw IT and business leaders in. According to a Deloitte report , 73% of respondents said their organizations have embarked on a path to intelligent automation and they predict that robotic process automation (RPA) will reach almost universal adoption sometime in 2023.

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High Availability SQL Server Docker Containers in Kubernetes

KDnuggets

Need high availability for SQL Server Docker containers in Kubernetes? Here’s how to get it.

IT 106
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Collaborative Work Management: Agile for the Rest of Us

CIO Business Intelligence

Normally, we’d all prefer to have options rather than being limited to either-or scenarios. But most teams are still stuck with binary choices, as they determine how to manage their work. For the most part, work is processed in one of two ways: Registered work follows a formal process, including how plans get authorized, how baselines are established, how approvals are given, and how progress is tracked and reported on.

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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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MLOps: The Best Practices and How To Apply Them

KDnuggets

Here are some of the best practices for implementing MLOps successfully.

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Unlock Startup Success: Innovate with Behavioral Economics

Aryng

One of the crucial challenges for start-up entrepreneurs in this competitive business landscape is innovation, i.e., continuously developing innovative id. The post Unlock Startup Success: Innovate with Behavioral Economics appeared first on Aryng's Blog.

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Endpoint security renaissance in the era of hybrid work

CIO Business Intelligence

A few decades ago, corporate endpoints consisted mainly of stationary PCs glued to the desk. The attack vectors to break into an end-user device were also slim. Can you imagine that the first ransomware attack was distributed via 5.25-inch floppy disks to the attendees of a WHO conference? Back then, protecting endpoints involved anti-malware tools that sniff out suspicious files based on static signatures.

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Data Mesh and the Need for Seamless Provisioning and Privacy

Data Virtualization

Reading Time: 2 minutes Organizations are looking for new ways to gain greater efficiency, flexibility, and performance from their data infrastructures. This is why data mesh is one of the most exciting new developments in the technology arena, particularly in data science and analytics. The post Data Mesh and the Need for Seamless Provisioning and Privacy appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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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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Multi-cloud adoption and consumption trends

CIO Business Intelligence

Business appetite for cloud continues unabated, with most companies now relying on multiple clouds. At midpoint 2021, 73% of surveyed enterprises said they were using two public clouds, and 26% were using three or more. But multi-cloud for most means managing public cloud consumption along with a mix that can include private clouds, on-premises assets, and edge clouds.

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Data Mesh and the Need for Seamless Provisioning and Privacy

Data Virtualization

Reading Time: 2 minutes Organizations are looking for new ways to gain greater efficiency, flexibility, and performance from their data infrastructures. This is why data mesh is one of the most exciting new developments in the technology arena, particularly in data science and analytics. The post Data Mesh and the Need for Seamless Provisioning and Privacy appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Denodo Advancing Data Virtualization in the Cloud

David Menninger's Analyst Perspectives

Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world.

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5 Must-Have Features of Backup as a Service For Hybrid Environments

CIO Business Intelligence

As the value and business criticality of data increases, so do the challenges of backup, recovery, and data management. These challenges are exacerbated by exploding data growth, increasing SLA requirements, and an evolving threat and compliance landscape. Although hybrid cloud environments provide businesses with greater agility, protecting and managing apps and data across the core data center, private cloud, and public cloud can prove increasingly complex and costly. .

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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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Include Clickless Analytics in Your Data Democratization Project!

Smarten

How Can Clickless Analytics Help My Business Succeed in Data Democratization? Gartner predicts that ‘… augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ One of the primary reasons that augmented analytics is not adopted and leveraged to its full capacity is that the business chooses a solution that is not easy enough for team members to adopt – one that is restrictive, inaccessible or requires sophisticated skills.