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Machine learning model serving architectures

Xebia

Selecting the right architectural serving pattern is paramount in creating the most business value from your model. In this blog we will discuss the most common serving architectures 1 ; batch predicting, on-demand synchronous serving and streaming serving. How to choose your serving architecture? It doesn’t have to be.

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How an architecture-led transformation puts the customer first

CIO

At Discover® Financial Services, our customers and their trust are key drivers of our technological decisions. With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture.

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What is enterprise architecture? A framework for transformation

CIO

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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How CIOs use AI to elevate CX services

CIO

Technology specialist Salesforce reports that more than two-thirds of service professionals believe gen AI will help them serve their customers better, while Forrester expects it to give CX teams a huge boost through 2024. Across all areas of service provision, Elms wants to give customers more in-depth information.

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Apache Cassandra® NoSQL for the Relational DBA

Learn from Lewis DiFelice, an experienced Professional Services Consultant at Instaclustr, as he shares his journey transitioning from SQL to managing a 40-node Cassandra cluster. Gain insights into Cassandra's architecture, configuration strategies, and best practices. Download now and revolutionize your database operations!

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Tractor Supply enlists AI to deliver ‘legendary’ customer service

CIO

prides itself in delivering “legendary” customer service, and it has turned to artificial intelligence to assist with that goal. Hey GURA is “really leaning in on that legendary service but also building that authority and trust that we already have with the customer,” he says. “It Tractor Supply Co.

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Toyota transforms IT service desk with gen AI

CIO

“One of my bold bets is I want to eliminate our traditional service desk by 2025,” says Jason Ballard, IT executive and general manager for infrastructure and operations services at Toyota Motor North America. Then in 2020, Ballard took leadership of the digital platform engineering team with an eye on the IT service desk. “I

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. We are excited to be joined by Leo Zhadanovsky, Principal Solutions Architect at Amazon Web Services. In this fast paced talk, he will cover: How to decompose for agility. The "two pizza" team culture.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless application architecture. And much more!

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Prioritizing Customer Experience Using SLIs & SLOs: A Case Study from The Telegraph

Service Level Indicators and Service Level Objectives are now the principal tools for focusing on what really matters. The premise of SLIs/SLOs is that all teams—product, architecture, development, and platform— need to look at services from the customer’s perspective.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. Establishing the boundaries of your teams and services.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. Driving a self-service analytics culture with a semantic layer. Avoiding common analytics infrastructure and data architecture challenges.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity. Hold teams accountable using service level objectives (SLOs).

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The Unexpected Cost of Data Copies

Fortunately, a next-gen data architecture enabled by the Dremio data lake service removes the need for replicated data, helping organizations to minimize complexity, boost efficiency and dramatically reduce costs. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.