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From Spreadsheet Chaos to Data Strategy Triumph with Perficient

Perficient

Relying on complex spreadsheets for portfolio analysis, the firm faced operational hurdles due to immense computing demands. Recognizing the need for a comprehensive operational overhaul, we proposed a transformative journey from spreadsheet reliance to a robust data strategy initiative. Let us navigate your journey to success.

Strategy 371
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Why JPMorgan’s chief data and analytics officer sits on operating committee

BankInovation

JPMorgan Chase’s chief data and analytics officer sits within its operating committee to keep up with ongoing AI investment and implementation bankwide. Appointed in June 2023, Chief Data and Analytics Officer Teresa Heitsenrether serves on the $3.7

Analytics 111
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Operation BLACKHAT

Perficient

Operation BLACKHAT. He has hired other gang members for this operation. Operation BLACKHAT: After an hour, the Blackhat went to the location to collect the ransom. The operation was foiled by the rival gang. It was revealed that the operation was funded by the Bluehat who thus was the ex-business partner of Mr.Sanjay.

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Data warehousing: Considerations, drawbacks, and data platform alternatives

Abrigo

A unified data platform helps banks organize without the headaches Abrigo Connect offers an alternative to data warehousing that lets financial institutions more easily put their data to use. Takeaway 2 Some form of data organization is a must, so financial institutions may consider alternatives like a data platform.

Data 195
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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.

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POUR: Designing for Accessibility with Operable in Mind

Perficient

“POUR” has become mainstream lingo for the four main principles (Perceivable, Operable, Understand, and Robust) of web accessibility. Now we’re going to cover the second term of POUR: Operable. Why Your Designs Should be Operable. How to Create Operable Experiences. For example, guideline 2.1

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Go Where No Operations Department Has Gone Before – Instant Settlement

Perficient

The front office is screaming down to the Settlement Office, “Operations, we need more capital!” Any operations team that has dealt with a stock loan trading desk can contest the inherent friction between providing more available securities to the desk and reliance on settlement cycles and market constraints.

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Marketing Ops: The New Revenue Hero

As data continues to play a starring role in today’s B2B organizations, both marketing and sales operations professionals are poised to solidify their place as critical revenue drivers.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. However, for most organizations embarking on this transformational journey, the results remain to be seen.

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities. Brought to you by Data Robot. Identifying good use cases.

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How Intent Data Helps Marketers Convert A-List Accounts

We’ll walk you through how intent data can elevate your marketing operation, including how it helps you: Easily prioritize accounts Craft engaging content that converts Retain and upsell customers