Packs

6 packs

User Segmentation Analysis

Install this pack to analyze diverse user feedback and identify at least 3 distinct behavioral and needs-based user segments.

4 skills · pack

Market Research

Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.

7 skills · pack

Product Launch GTM

Identify beachhead segment, create go-to-market strategy, and execute launch to acquire first customers.

8 skills · pack

Google Ads Campaign Launch

Configure Google Ads API access, upload audience segments, and create campaigns using automation tools.

3 skills · pack

Go-to-Market Strategy

Define ICP, select beachhead segment, and build a complete GTM plan with channels and metrics.

8 skills · pack

Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, and ideal customer profiles.

6 skills · pack

Results for “segment”

17 skills

tao-train-mask2former

Train, evaluate, export, quantize, and run inference on Mask2Former models for panoptic, instance, and semantic segmentation using NVIDIA TAO.

tao-train-oneformer

Train, evaluate, export, quantize, and run inference for a TAO OneFormer model that performs panoptic, instance, and semantic segmentation using task-conditioned queries.

nv-segment-ctmr

Runs NV-Segment-CTMR segmentation on CT or MRI NIfTI volumes and records label-map evidence.

Segments abdominal organs from CT NIfTI volumes using the NV-Segment-CT VISTA3D model, producing label maps and structured evidence JSON.

nv-segment-ct-finetune

Fine-tune NV-Segment-CT VISTA3D on CT NIfTI labels for smoke testing or dataset adaptation, wrapping the upstream MONAI bundle entrypoint.

cja-segment-performance-comparator

Compares 2–5 audience segments side by side across key metrics, identifying winners, losers, and significant differences to inform product decisions and personalization strategy.

More results

aa-segment-performance-comparator

Compares the performance of two or more audience segments across key metrics side by side, using Adobe Analytics data to determine winners, losers, and spreads for each metric.

tao-train-mask-grounding-dino

Trains, evaluates, exports, quantizes, and runs inference for a Mask Grounding DINO model for open-set instance segmentation guided by text prompts.

tao-train-segformer

Trains, evaluates, exports, quantizes, and runs inference for SegFormer semantic segmentation models using NVIDIA TAO.

tao-train-nvpanoptix3d

Trains, evaluates, exports, and runs inference for NVPanoptix3D models that perform panoptic 3D scene reconstruction from posed RGB images, producing 3D panoptic segmentation with occupancy completion.

huggingface-vision-trainer

Trains and fine-tunes vision models for object detection, image classification, and segmentation using Hugging Face Transformers on cloud GPUs, with automatic dataset validation and Hub persistence.

10.8k · bundle

tao-train-mask-auto-label

Trains, evaluates, and runs inference for Mask Auto-Label (MAL) weakly-supervised segmentation models using ViT-MAE backbones with minimal point or box annotations.

nemo-mbridge-perf-memory-tuning

Reduces peak GPU memory in Megatron Bridge training by applying expandable segments, parallelism resizing, activation recompute, and CPU offloading constraints.

qdrant-minimize-latency

Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.

aa-conversion-funnel-analysis

Analyzes multi-step conversion funnels in Adobe Analytics to identify visitor drop-off points, compute step conversion rates, and pinpoint the worst leakage steps.

tao-train-visual-changenet

Trains, evaluates, exports, and runs inference for Visual ChangeNet models used in AOI defect detection, comparing image pairs for PASS/NO_PASS classification or change-segmentation masks.

cja-funnel-health-check

Analyzes a multi-step conversion funnel in Adobe Customer Journey Analytics to find where users drop off and which steps have the worst leakage.