Monday Morning Impact – September 29
Gartner: 70% of Large Organizations Will Adopt AI-Based Supply Chain Forecasting to Predict Future Demand by 2030
Seventy percent of large-scale organizations will adopt AI-based forecasting to predict future demand by 2030, according to Gartner.
Achieving touchless forecasting that eliminates the need for frequent manual inputs and regular human interventions provides a unique scalable automation opportunity within demand planning, according to the market research company. By utilizing the underlying machine learning (ML) techniques, instead of traditional statistical engines, AI-based forecasting can enable organizations to achieve touchless forecasting and consistently obtain additional value with less risk of deterioration in the accuracy of outputs.
“The value of AI-based forecasting includes improved strategic decision making, faster responses to market changes, and enhanced collaboration workflows,” said Jan Snoeckx, Director Analyst in Gartner’s Supply Chain practice. “To help drive successful adoption, planning leaders should clearly articulate a sense of urgency in pursuing touchless forecasting and place AI as a core element within their technology strategies, rather than as an add-on consideration.”
Snoeckx further stressed that supply chain planning leaders’ articulation of a bold vision that demonstrates how AI advancements can transform the entire demand planning process, beyond baseline forecasting, is critical to drive successful adoption.
AI-based forecasting can dynamically detect complex patterns across time series data, enabling more frequent and granular forecasts. It can also learn from various datasets, which is required for making automated predictions on new product introductions and promotional initiatives that have limited or no historical data within a given dataset.
To implement AI-based touchless forecasting, Gartner recommends that companies first analyze their current collaboration processes, individual workflows, time lost to traditional methods, and the forecasting tools and systems in use, then identify specific areas for improvement and articulating the business case. Next, companies should move beyond a sole reliance on historical sales data by developing a comprehensive data strategy that includes both internal and external sources. From these explorations they can then create a technology enablement roadmap.
Gartner clients can read more in “Achieve Scalable Productivity Gains With Touchless AI Supply Chain Forecasting.” Nonclients can learn more in Supply Chain AI.
Channel Impact®
Transitioning to AI-based forecasting requires investment in technology and skills, which can be built internally or outsourced through supply chain planning solutions, analytics platforms, or forecasting-as-a-service models. This process represents a key opportunity for channel partners seeking to facilitate customer success with this strategy.
Blue Mantis Introduces Managed Cybersecurity Service for Midsized Businesses
Blue Mantis, a New Hampshire-based IT services provider, has introduced “Blue Mantis Protect,” a fully-managed cybersecurity service built for midmarket organizations based on AI-powered threat detection.
“Midmarket organizations face the same cybersecurity threats as large enterprises, but often without the in-house resources to defend against them,” said Josh Dinneen, CEO of Blue Mantis. “Mantis Protect is purpose-built to close that gap and strengthen their defense posture, delivering enterprise-grade protection without the capital and operational burden of running an in-house SOC.”
The offering includes nine solutions that can be deployed individually or collectively through a subscription model. These include Managed Detection and Response, powered by cloud-native platform and adaptive machine learning models; Managed EDR / XDR through which devices are continuously monitored; managed email security; Managed Cloud Native Application Protection, which delivers visibility into cloud risks across AWS, Azure, GCP and Kubernetes; Managed Secure Service Edge; Threat Hunting; Vulnerability Management; Dark Web Monitoring; and simplified compliance and risk management for frameworks such as NIST CSF, PCI DSS, and HIPAA.
“With Mantis Protect, midmarket enterprises gain a seamlessly integrated solution that immediately enhances their defense posture,” said Jay Martin, CISO at Blue Mantis. “It’s a practical response to the complexity and fatigue IT teams face—engineered to deliver measurable impact without disrupting day-to-day operations.”
Channel Impact®
Blue Mantis Protect promises AI and human expertise to deliver advanced protection at lower cost as compared to an in-house SOC.
SentinelOne to Acquire Observo AI for SIEM and Security Operations
SentinelOne has announced its intent to acquire Observo AI, which offers a data streaming platform for AI-native telemetry pipeline management. The deal is intended to serve as an immediate complement and catalyst to SentinelOne’s AI SIEM and data offerings.
Observo delivers an AI-native, real-time telemetry pipeline that ingests, summarizes, and routes data across the enterprise—before it ever reaches a SIEM or data lake. The stated value proposition is to reduce costs, improve detection, and increase speed.
“Security is, at its heart, a data problem, and legacy, rules-based data pipeline platforms simply weren’t built for today’s ever-growing attack surface and data rich security operations,” said Tomer Weingarten, CEO and Co-founder of SentinelOne. “Observo AI will uniquely benefit customers with an AI-native data architecture — one that is open by design, intelligent by default, and built for the scale and speed needed for autonomous security operations. As a result, we can deliver significant new customer and partner value – and customer and partner choice – by allowing for fast and seamless data routing into our AI SIEM, or any other destination.”
Features include support for open formats like OCSF, JSON, OTLP, and Parquet; AI-based classification, masking, correlation, and summarization; and enhanced cost efficiency. Designed for enterprises with thousands of data sources, Observo AI includes centralized fleet management, zero-touch updates, PII masking, and automated discovery of new data types.
SentinelOne will acquire Observo AI for an undisclosed combination of cash and stock. The transaction is expected to close in SentinelOne’s third quarter of fiscal year 2026, subject to any applicable regulatory approvals and customary closing conditions.
Channel Impact®
The objective is to help channel partners and SOC teams resolve threats faster, cut data costs, and simplify operations across the entire environment.
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