EBOOK: Assessment: Do you have the right tools to protect your company data?
Small and medium businesses are adopting the cloud to help prevent unintended disclosures, unauthorized user access, bugs, and other security issues or events. Cloud technology and tools can help to deter, detect, and mitigate threats to company and customer data. In fact, companies that have already migrated to the cloud experience a 43% overall decrease in security events.
The cloud provides infrastructure that is built and maintained to provide enhanced security features. On top of this foundational barrier, cloud-based tools and services offer other layers of protection to automate security checks and lower the risk of threats before they impact company operations.
Can your company improve the security of its data against unauthorized access or unintended events? Check off the boxes next to each safeguard that your business has in place. The boxes you don’t check represent gaps in your company’s data protection tool set.
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These days, technology offers businesses of all sizes new and innovative ways to expand their reach and gain more customers. But as businesses implement more technology, it can often put a strain on their security, resulting in weakened security.
So, what is the connection to growth? Plainly stated, security incidents can disrupt business operations, impact brand reputation, and stall innovation—all of which can disrupt (or even derail) productivity and growth.
In a nutshell: Security risks are growth risks.
Here’s the challenge: While growing businesses know security is imporant for growth, scaling securely can be challenging for small and medium-sized businesses without inhouse IT teams and tight budgets.
Only 1 out of 4 businesses say they have the personnel to address IT security.
In this eBook, we explore three opportunities for growing businesses to scale securely, build their brand reputation, and drive innovation with cloud‐based security.
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Many companies are trapped in a constant firefighting mode, reacting to disruptions instead of proactively managing them. This creates inefficiencies, strains teams and hinders growth.
This ebook outlines the journey from fragmented logistics to orchestrated supply chain ecosystems. You’ll discover real-world case studies in efficiency, resilience and innovation, with insights from a Leader in the 2025 Gartner® Magic Quadrant™ for Fourth-Party Logistics.1
Download this ebook and start transforming your supply chain into a competitive advantage.
Implementing a command center: how to align teams, decisions and execution for resilient daily operations
Disconnected processes and siloed decision-making make it hard to keep up with today’s supply chain challenges.
Discover how a command center brings together supply chain experts and AI-native technology into a single orchestrated environment that enables faster decisions, fewer escalations, greater resilience and lower costs.
In this guide, you’ll learn how to:
Bridge the gap between mid-term planning and day-to-day execution
Anticipate disruptions before they escalate
Keep your customers satisfied and your operations running
smoothly
Enhance overall efficiency, improve carrier rates and significantly reduce reliance on premium freight and safety stock
You’ll also explore a use case that lays out practical steps your organization can take to reconnect fragmented processes and break down silos across the supply chain by implementing a unified command center.
Vom individualisierten Altsystem zur zukunftsfähigen Branchenlösung — wie GVS Agrar den Wechsel gemeistert hat.
500 Mitarbeitende. Schweiz und Frankreich. Und eine Warenwirtschaft, die mit jeder Anpassung instabiler wurde.
Die GVS Agrar AG, führender Schweizer Generalimporteur für Fendt, Massey Ferguson und Valtra, hatte sich über Jahre ein System aufgebaut, das für jede neue Anforderung weiter individualisiert wurde. Was anfangs flexibel wirkte, wurde mit der Zeit zur Belastung: Updates wurden zu Risikomomenten, branchenspezifische Funktionen fehlten und Wissen steckte in Köpfen statt im System.
Die Erkenntnis: Ein System, das nicht mit der Zukunft geht, bremst das gesamte Unternehmen und passt damit nicht zum Anspruch der GVS Agrar: „Unser Feld ist Zukunft.“
Was Sie in der Customer Story erfahren
Die Ausgangslage Wie ein stark individualisiertes Warenwirtschaftssystem über Jahre zum Hemmschuh wurde — und warum GVS Agrar erkannte: So kann es nicht Die Entscheidung Warum GVS Agrar sich für eine branchenspezifische Lösung entschied — und welche drei Faktoren dabei ausschlaggebend waren.
Die Einführung Wie der Go-live mit Webshop, Logistikpartner und Herstellerschnittstellen ab Minute eins funktionierte — und warum er erstaunlich ruhig war.
Das Ergebnis Stabile Schnittstellen, saubere Servicehistorien, transparente Vermietung — und ein Team, das wieder Vertrauen in seine Daten hat.
Erfahren Sie, wie GVS Agrar den Schritt von der individualisierten Sonderlösung zur zukunftsfähigen Branchenlösung gemacht hat — und was sich für 500 Mitarbeitende in der Schweiz und Frankreich im Alltag verändert hat.
True relevance: Powering 1:1 experiences on a 1:many scale
Individual customers deserve individualized experiences from the brands they engage with, and true connection happens when a brand meets you exactly where you are – with the right offer, at the right moment, on the right channel.
The tools are there, but the old way of manual testing can’t keep up with real life. It’s time to move beyond segments and let AI do the heavy lifting, so you can focus on the heart of your brand: the people.
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LLMs weren’t built to understand human speech, and enterprises can no longer rely on transcript‑only systems that miss emotion, intent, and risk in real‑time voice interactions.
Voice conversations now carry more operational risk and strategic value than text, but AI systems still strip audio down to transcripts and lose the behavioral signals that matter. As call volumes rise and interactions grow more complex, enterprises face widening blind spots in customer experience, fraud detection, and agent performance.
CX, fraud, and compliance operations continue to rely on transcript‑only LLMs that hallucinate, ignore tone, and misread context: a structural limitation of models trained on text rather than voice.
This whitepaper introduces Ensemble Listening Models, a new architecture built for multidimensional voice intelligence, and shows how enterprise‑grade ELM — delivers higher accuracy, lower cost, and transparent reasoning across millions of conversations.
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The Strategic Insights Covered:
Why LLMs fail on voice
Understand the structural reasons transcript‑based systems miss emotion, urgency, deception, and intent, and why hallucinations increase risk in enterprise workflows.
What ELMs unlock for accuracy
Discover how AI-native communication stacks enable real-time transcription, automated QA, and conversation intelligence that flows directly into CRM and revenue workflows.
ELMs as a new operating layer
See how coordinated, specialized models create reliable, real‑time judgment across CX, fraud, compliance, and other voice‑dependent workflows.
Emerj: Pipeline Partner for Leading AI Brands
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