Wed.Sep 27, 2023

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Discovery to delivery: Transform the shopper’s journey

IBM Business Partners

The relevance of a promise The fundamental principle of commerce is the concept of a “promise.” A promise of accuracy in product detail, product capabilities, quality, price and delivery. The promise of accuracy in inventory—or, more importantly, in the availability of inventory—is very important when there are competing demands for the same unit of inventory and unpredictable disruptions to sources of supply.

Retail 89
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Positivity and Kindness Drive Kristin’s Success

Market Source Inc

Business Development Manager Kristin Edwards lives and works by these words: Connecting on a personal level accelerates trust, and as my wise mentor says, truth over time = trust.” The post Positivity and Kindness Drive Kristin’s Success appeared first on MarketSource.

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Debunking observability myths – Part 6: Observability is about one part of your stack

IBM Business Partners

In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Part 3: Observability is only relevant and beneficial for large-scale systems or complex architectures Part 4: Observability is always expensive Part 5: You can create an observable system without observability-driven automation Today, we’re delving into another misconception about observability—

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Ways to Improve Employee Efficiency: Tips and Strategies

Binfire Collaboration Blog

Improving employee efficiency is a key goal for any organization. It not only helps to increase productivity but also ensures that the employees are performing at their best. There are several ways to improve employee efficiency, ranging from simple changes in the workplace to more complex strategies. One of the most effective ways to improve employee efficiency is to provide them with the necessary tools and resources.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks. To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and pr

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Refuse to Revenues: How Technological Innovation and Business Model Transformation are Creating Growth Opportunities in the Global Refuse Hauler Market

Frost & Sullivan

Long-term growth prospects to be stimulated by advanced data analytics, electrification, automation/robotics, autonomous trucks together with novel waste-to-energy solutions. Technological innovation in the form of advanced data analytics, electrification, automation/robotics and autonomous trucks, together with novel waste-to-energy solutions, are set to support long-term growth in the global refuse hauler market.

Energy 52

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Open source large language models: Benefits, risks and types

IBM Business Partners

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. There are two types of these generative AI models: proprietary large language models and open source large language models.

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Closing the breach window, from data to action

IBM Business Partners

Accelerate threat detection and response (TDR) using AI-powered centralized log management and security observability It is not news to most that cyberattacks have become easier to launch and harder to stop as attackers have gotten smarter and faster. For those defending against cyberthreats, things continue to get more complicated. The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives