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Appian 20.4 - Driving Hyperautomation into 2021

With the Appian 20.4 release, we’ve made it faster and easier to build new applications, extend legacy systems, and automate any business processes. 2021 is the year of Hyperautomation. Your workforce will be fully enabled by AI, bots, and other automation technologies in seamless interactions and processes. Appian is the only platform that orchestrates people, processes, bots and AI in a single workflow.

People-Powered Digital Transformation

Digital transformation is one thing. Getting people involved is another. Right now, there’s a disconnect between the culture of digital transformation that companies say they aspire to create and the organizational behavior they actually have, says Lisa Heneghan, Chief Digital Officer and a member of the Executive Committee of KPMG, UK. But here’s the good news: Organizations that invest in bridging the people gap will benefit the most from innovation, according to Heneghan.

Solutions Analyst: The Career for Innovative All-Rounders

Every business wants to stay agile. They invest in analytics to learn about their customers and their internal state, and they use these insights to make bold and innovative decisions. But then they run into a common problem: how to put those decisions into action. This is where a solutions analyst comes in. These multi-talented creative thinkers will look at the current state of play and identify the smartest path forward.

Digital Transformation: What Does It Mean for Different Industries?

Digital technologies have been advancing at a breakneck pace, and companies are taking advantage in order to beat their competitors and better serve their customers. According to the 2018 “State of the CIO” report, 40 percent of IT budgets are now allocated for the express purpose of digital transformation regardless of industry. What’s more, 70 percent of companies say that they either already have a digital transformation strategy, or they’re working on putting one into place.

Federated Learning, Machine Learning, Decentralized Data

Two years ago we wrote a research report about Federated Learning. We’re pleased to make the report available to everyone, for free. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Instead of collecting data on a single server or data lake, it remains in place—on smartphones, industrial sensing equipment, and other edge devices—and models are trained on-device.

How Cloudera Supports Government Data Encryption Standards

As part of our ongoing commitment to supporting Government regulations and standards in our enterprise solutions, including data protection, Cloudera recently introduced a version of our Cloudera Data Platform, Private Cloud Base product (7.1.5 release) that can be configured to use FIPS compliant cryptography.

Better Listening Through Customer Experience Insights

Snowflake connected with Margaret Sherman of Sonos at Data Cloud Summit 2020 to hear how the company is using the Data Cloud to understand customer preferences and enhance listening experiences. In a world where people are surrounded by a lot of noise, purity of sound in music and other content we seek out in the comfort of our homes can offer a welcome respite. There are lessons to be learned from a company reinventing home audio for today and tomorrow—and using the Data Cloud to do it.

Democratizing Machine Learning Capabilities With Qlik Sense and Amazon SageMaker

The ability to discover insights from past events, transactions and interactions is how many customers currently utilize Qlik. Qlik’s unique approach to Business Intelligence (BI) using an in-memory engine and intuitive interface has democratized BI for typical business users, who usually have little to no technical savvy. But, for many years, organizations have only been able to analyze metrics or KPIs of “what has happened” (i.e., descriptive analytics).

Democratizing Machine Learning Capabilities With Qlik Sense and Amazon SageMaker

The ability to discover insights from past events, transactions and interactions is how many customers currently utilize Qlik. Qlik’s unique approach to Business Intelligence (BI) using an in-memory engine and intuitive interface has democratized BI for typical business users, who usually have little to no technical savvy. But, for many years, organizations have only been able to analyze metrics or KPIs of “what has happened” (i.e., descriptive analytics).