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ADBE

Technology

2w

Adobe's Strategic Integration of AI Across Creative and Marketing Platforms

Adobe is infusing AI across its flagship Creative Cloud applications, including Photoshop, Illustrator, Premiere Pro, and After Effects, to enhance creative workflows.
The company launched Adobe Firefly, an AI-first product, to provide a unified ideation-to-creation platform for creators, integrating first-party and third-party models.
Adobe's AI influence ARR has surpassed $5 billion, already exceeding its full-year target, indicating rapid monetization of AI innovations.
The company is actively integrating third-party models like Google Gemini, OpenAI, and others into its applications, emphasizing choice and seamless workflow integration.
Adobe's Firefly app and services are seeing accelerated adoption, with 29 billion generations and a 30% growth in monthly active users, highlighting AI's role in content creation.
The company is positioning itself as the 'operating system for creative work,' leveraging AI to transform content workflows and user engagement.

Dell Technologies Inc.

DELL

Technology

4w

Dell's Record AI Shipments and Growing Backlog

Dell achieved record AI shipments of $8.2 billion in Q2 2026, surpassing all previous quarters.
The company booked $5.6 billion in AI orders during the quarter, indicating strong demand and a substantial pipeline.
Dell's AI backlog stands at $11.7 billion, with the pipeline growing sequentially and exceeding the current backlog.
Demand for AI servers is driven by enterprise and sovereign markets, with a growing interest in NVIDIA RTX Pro 6000 AI Factory solutions.
Dell shipped more AI servers in the first half of 2026 than in all of 2025, highlighting accelerated deployment.
The company is confident in its capacity to convert its large AI pipeline into incremental orders, aiming to surpass the $20 billion shipment target.

SNOW

Technology

1mo

Snowflake's Rapid Product Innovation and Platform Expansion

Snowflake launched approximately 250 new capabilities to general availability in the first half of 2026, demonstrating a rapid pace of innovation.
The company introduced new features across analytics, data engineering, AI, applications, and collaboration, outperforming expectations.
Snowflake's platform now supports open data formats like Apache Iceberg, with over 1,200 accounts using Iceberg, underscoring leadership in open standards.
The launch of Gen 2 Warehouse has delivered up to 2x faster performance, enhancing efficiency without increasing costs.
Snowflake's introduction of Postgres and OpenFlow expands its ecosystem, supporting critical workloads and data integration.
The company is actively integrating Spark via Snowpark Connect, enabling native Spark workloads on Snowflake, simplifying operations.

ADSK

Technology

4w

Financial Performance Summary

Billings increased 36% as reported and 34% at constant currency, driven by the new transaction model.
Contribution from the new transaction model to revenue was approximately $105 million in Q2.
Free cash flow was $451 million, benefiting from earlier timing of billings.
GAAP and non-GAAP operating margins improved by 240 and 140 basis points respectively, reaching 25% and 39%.
Remaining performance strong in AECO sector, offsetting softness in commercial segments.
RPO grew 24% to $7.3 billion, with current RPO at $4.7 billion growing 20%.
Share repurchases totaled $356 million in Q2, with 1.2 million shares bought at an average price of $298 per share.
Total revenue grew 17% year-over-year as reported and 18% in constant currency in Q2.

ZS

Technology

3w

Rapid Growth in AI Security and Emerging Threats

AI and ML transactions on Zscaler's cloud increased by 3500% in the past year, highlighting explosive growth in AI traffic.
The rise in AI adoption has introduced new security challenges such as model jailbreaking, prompt injection, and model poisoning.
Zscaler launched AI Guard to secure AI applications and access, which is currently being tested by large customers.
Management emphasized the importance of securing AI workloads and enabling safe agent-to-agent communication as a key future focus.

Oracle Corporation

ORCL

Technology

2w

Oracle's Leadership in AI Inference Market and Data Security

Safra Catz emphasized Oracle's strategic focus on AI inference, projecting it to be larger than the training market.
Larry Ellison highlighted Oracle's unique position as the largest custodian of high-value enterprise data, enabling superior AI inference capabilities.
Oracle's new AI database allows vectorization of enterprise data, facilitating secure and private AI reasoning.
The company has integrated its AI database with leading LLMs like ChatGPT, Gemini, and Lama, providing seamless access for customers.
Oracle's secure data environment and advanced database technology position it as a leader in enterprise AI inference solutions.
The company has secured partnerships with major AI players, including a deal with Google, to bundle AI models with its database offerings.

Credo Technology Group Holding Ltd

CRDO

Technology

3w

Credo's Rapid Growth in AI-Driven Connectivity Solutions

Credo achieved a 274% year-over-year revenue increase in Q1 2026, driven by surging demand for AI infrastructure connectivity solutions.
The company’s AEC product line experienced robust growth, with multiple hyperscalers contributing over 10% of revenue each.
Credo's innovative system-level approach and purpose-built technology have positioned it as a leader in the active electrical cable (AEC) market.
Demand for high-speed data rates up to 1.6 terabits per second is accelerating, supporting next-generation AI clusters and data center architectures.
The company’s strategic partnerships and diversified customer base are fueling its expansion into new markets and protocols.
Management emphasized the importance of their unique SerDes technology and integrated system design as key competitive advantages.

Ciena Corporation

CIEN

Technology

3w

Ciena's Industry-First AI Infrastructure Wins and Market Impact

Ciena announced two industry-first wins with cloud providers, including a dedicated AI training architecture in North America using RLS platform and WaveLogic 6 nano 800G ZR plug from their interconnects portfolio.
The North American AI training project is expected to ramp to hundreds of millions of dollars over the next several quarters, highlighting a significant new revenue stream.
A focused application inside data centers for out-of-band network management (DCOM), co-developed with a hyperscaler, is streamlining large-scale data center operations and reducing power and space.
Ciena secured significant orders for 400ZR plus pluggables from a major hyperscaler, establishing itself as a leading supplier in this high-demand technology.
These wins demonstrate Ciena's strategic focus on AI infrastructure, positioning the company as a critical enabler in the AI network transformation, with a multi-year investment cycle.

PATH

Technology

3w

UiPath's Rapid Adoption of AgenTiQ Platform and Customer Momentum

UiPath launched its AgenTiQ platform in May 2026, and currently has 450 active customers building agents for production deployment.
Customers like Voya Financial and a Fortune 15 tech company are expanding their automation initiatives using AgenTiQ, indicating strong market acceptance.
AgenTiQ's capabilities are increasing deal sizes faster than traditional RPA, with significant deals driven by its combination with orchestration and API automation.
The platform is deepening customer engagement and opening new opportunities, especially in complex enterprise environments like SAP transformations.
UiPath is monetizing AgenTiQ through a consumption-based model, which aligns well with customer needs for flexible, predictable pricing.
The company expects AgenTiQ to contribute meaningfully to revenue in FY 2027, although it is still early in adoption.

AI

Technology

3w

Financial Performance Summary

Cash, cash equivalents, and marketable securities totaled $711.9 million at quarter end.
Net cash used in operating activities was $33.5 million; free cash flow was negative $34.3 million.
Non-GAAP gross profit was $36.3 million with a gross margin of 52%, down due to higher IPD costs and lower economies of scale.
Non-GAAP operating loss was $57.8 million; net loss was $49.8 million or $0.37 per share.
Professional services revenue was $10 million, with $8.7 million from engineering services, representing 14% of total revenue.
Revenue from demonstration software licenses was $17.9 million, down sequentially by $15.9 million.
Subscription revenue was $60.3 million, representing 86% of total revenue.
Total revenue for Q1 2026 was $70.3 million, down 19% year-over-year.