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Key Strategies to Develop AI Software Cost-Effectively

Smart Data Collective

However, others want more control over AI technology, so they are seeking to develop their own AI software. Developing AI Software Can Help Many Companies Develop a Competitive Edge Software development services can be very beneficial for companies trying to take advantage of the benefits of AI technology.

Software 113
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Different Software Testing Strategies When Creating AI Applications

Smart Data Collective

This is a great opportunity for software publishers that have a knack for creating quality AI programs. In order to meet their expectations, they must use the right software. Fortunately, a growing number of software publishers are creating great applications that help their customers capitalize off of the wonders of AI technology.

Testing 111
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3 commandments that should drive every API strategy

CIO Business Intelligence

The first is that all interfaces among software developed by any team should be through APIs; the second is that teams should write internal APIs as if they were to be consumed by people outside the company. Here, MACH Alliance members and other IT leaders offer the following three commandments that should underpin any API strategy.

Strategy 138
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3 AI-Based Strategies to Develop Software in Uncertain Times

Smart Data Collective

AI technology is becoming increasingly important for software developers. We talked about some of the ways software developers can create successful AI applications. However it is equally important to use existing AI tools strategically to improve the quality of the software app lications that you are trying to design.

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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. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. It’s no surprise given the non-deterministic nature of LLMs.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid.

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IBM to buy StreamSets and webMethods from Software AG for $2.3B

CIO Business Intelligence

IBM is bolstering its portfolio in artificial intelligence and hybrid cloud services, announcing a move to acquire Software AG’s enterprise integration platforms. In October, Software AG launched Streamsets and webMethods as its Super Ipaas business. IDC predicts the worldwide integration software market will exceed $18.0

Software 105
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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratizing AI through your organization requires more than just software. Key questions for executives and leaders to answer about their AI strategy. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities. Aligning AI to your business objectives. Building trust in AI.

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How ZoomInfo Enhances Your ABM Strategy

For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.

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The Engineering Leader's Guide to Empowering Excellence With Data

A software engineering team is most commonly measured by its outputs — the quality of the code delivered and the speed at which it was shipped. Enrich coaching strategies to promote professional development. Create the Optimal Environment for Developer Success. Encourage developer autonomy & avoid the pitfalls of micromanagement.

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Problem Solved: Boost Resilience with Supplier Diversity

Speaker: Rod Robinson - SVP of the Supplier Diversity Practice, Insight Sourcing Group

Supplier diversity programs are impactful and effective tools in your business strategy because they guarantee a diverse supplier base and ensure inclusivity within your ultimate procurement plan.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. See how an end-user runs the new model from their browser device, with no other software needed.