Stay current on new cloud trends. Top software companies, respected industry analysts, and experienced consultants join Amazon Web Services leaders to talk about the cloud topics that matter to you—including the latest in AI, migration, Software-as-a-Service, and more. We produce new episodes regularly.
Site
RSS
Apple
Classements récents
Dernières positions dans les classements Apple Podcasts et Spotify.
Liens partagés entre épisodes et podcasts
Liens présents dans les descriptions d'épisodes et autres podcasts les utilisant également.
Ep089: Enterprise AI at Scale: Box's Approach to Secure Content Intelligence
Épisode 89
lundi 31 mars 2025 • Durée 31:12
Yashodha Bhavnani, Head of AI at Box, reveals Box's vision for intelligent content management that transforms unstructured data into actionable insights.
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Ep088: Monetizing and Productizing Generative AI for SaaS with RingCentral & Zoom
Épisode 88
jeudi 27 mars 2025 • Durée 36:30
Tech leaders from RingCentral, Zoom and AWS discuss how generative AI is transforming business communications while balancing challenges & regulatory concerns in this rapidly evolving landscape.
Topics Include:
Introduction of panel on generative AI's impact on businesses.
How to transition AI from prototypes to production.
Understanding value creation for customers through AI.
How generative AI fits into Zoom's product offerings.
Zoom's AI companion available to all paid customers.
Zoom's federated approach to AI model selection.
RingCentral's new AI Receptionist (AIR) launch.
How AIR routes calls using generative AI capabilities.
AI improving customer experience through sentiment analysis.
The disproportionate value of real-time AI assistance.
Economics of delivering real-time AI capabilities.
Real-time AI compliance monitoring in banking.
Value of preventing regulatory fines through AI.
Voice cloning detection through AI security.
Democratizing AI access across Zoom's platform.
Monetizing specialized AI solutions for business value.
Challenges in taking AI prototypes to production.
Importance of selecting the right AI models.
Privacy considerations when training AI models.
Maintaining quality without using customer data for training.
Co-innovation with customers during product development.
Ep079: AI, Innovation, and the Enterprise: Box's Journey with AWS
Épisode 79
mardi 18 février 2025 • Durée 18:52
Box's Chief Product Officer Diego Dugatkin discusses how the enterprise content management platform is leveraging AI through partnerships with AWS Bedrock and continuing to innovate for their customers.
Topics Include:
Introduction of Diego Dugatkin as Box's Chief Product Officer
Box provides cloud content management for enterprise customers
Focus on Intelligent Content Management
Box serves 115,000 customers including 70% of Fortune 500
Company manages approximately one exabyte of enterprise data
Box expanding product portfolio to offer more customer value
Partnership with AWS Bedrock for AI implementation announced
Collaboration with Anthropic for LLM technology integration
Common misconceptions about generative AI capabilities and limitations
Generative AI helps accelerate contract analysis and classification processes
Box Hubs enables content curation and multi-document queries
Success measured through hub creation and query accuracy metrics
Long-term AWS partnership continues expanding with new technologies
Amazon is major Box customer while Box uses AWS
API integration important for third-party developer implementations
AI development exceeding speed expectations in efficiency improvements
Challenges remain in defining AI agent roles and capabilities
Content strategy crucial for deploying intelligent content management
Companies must prepare for AI agents in workplace
Flexibility in tech stack recommended over single-vendor approach
Next 12-24 months will see accelerated industry changes
Box maintains innovative culture through intrapreneurship approach
Company regularly hosts internal and external hackathons
Focus on maintaining integrated platform while acquiring companies
Partnership between Box and AWS continues growing stronger
Ep078: Scaling Through Partnerships: Snowflake's Cloud Engineering Success
Épisode 78
mardi 11 février 2025 • Durée 13:11
Through case studies of Graviton implementation and GPU integration, Justin Fitzhugh, Snowflake’s VP of Engineering, demonstrates how cloud-native architecture combined with strategic partnerships can drive technical innovation and build business value.
Topics Include:
Cloud engineering and AWS partnership
Traditional databases had fixed hardware ratios for compute/storage
Snowflake built cloud-native with separated storage and compute
Company has never owned physical infrastructure
Applications must be cloud-optimized to leverage elastic scaling
Snowflake uses credit system for customer billing
Credits loosely based on compute resources provided
Company maintains cloud-agnostic approach across providers
Initially aimed for identical pricing across cloud providers
Now allows price variation while maintaining consistent experience
Consumption-based revenue model ties to actual usage
Performance improvements can actually decrease revenue
Company tracked ARM's move to data centers
Initially skeptical of Graviton performance claims
Porting to ARM required complete pipeline reconstruction
Discovered floating point rounding differences between architectures
Amazon partnership crucial for library optimization
Graviton migration took two years instead of one
Achieved 25% performance gain with 20% cost reduction
Team requested thousands of GPUs within two months
GPU infrastructure was new territory for Snowflake
Needed flexible pricing for uncertain future needs
Signed three to five-year contracts with flexibility
Team pivoted from building to fine-tuning models
Partnership allowed adaptation to business changes
Emphasizes importance of leveraging provider expertise
Recommends early engagement with cloud providers
Build relationships before infrastructure needs arise
Ep077: Developing an AI Strategy for Software Companies
Épisode 77
mardi 4 février 2025 • Durée 25:46
In this AWS panel discussion, Naveen Rao, VP of AI of Databricks and Vijay Karunamurthy, Field CTO of Scale AI share practical insights on implementing generative AI in enterprises, leveraging private data effectively, and building reliable production systems.
Topics Include:
Sherry Marcus introduces panel discussion on generative AI adoption
Scale AI helps make AI models more reliable
Databricks focuses on customizing AI with company data
Companies often stressed about where to start with AI
Board-level pressure driving many enterprise AI initiatives
Start by defining specific goals and success metrics
Build evaluations first before implementing AI solutions
Avoid rushing into demos without proper planning
Enterprise data vastly exceeds public training data volume
Customer support histories valuable for AI training
Models learning to anticipate customer follow-up questions
Production concerns: cost, latency, and accuracy trade-offs
Good telemetry crucial for diagnosing AI application issues
Speed matters more for prose, accuracy for legal documents
Cost becomes important once systems begin scaling up
Organizations struggle with poor quality existing data
Privacy crucial when leveraging internal business data
Role-based access control essential for regulated industries
AI can help locate relevant data across legacy systems
Models need organizational awareness to find data effectively
Private data behind firewalls most valuable for AI
Customization gives competitive advantage over generic models
Current AI models primarily do flexible data recall
Next few years: focus on deriving business value
Future developments in causal inference expected post-5 years
Ep076: Incident Response in the Age of Personal CISO Liability with Suresh Vasudevan of Sysdig
Épisode 76
mardi 28 janvier 2025 • Durée 34:20
Suresh Vasudevan, CEO of Sysdig, discusses the evolving challenges of cloud security incident response and the need for new approaches to mitigate organizational risk.
Rapid exploitation - minutes vs. days for on-prem.
Importance of runtime, identity, and control plane monitoring.
Limitations of EDR and SIEM tools for cloud.
Coordinated incident response across security, DevOps, executives.
Criticality of pre-defined incident response plans.
Increased CISO personal liability risk and mitigation.
Documenting security team's diligence to demonstrate due care.
Establishing strong partnerships with legal and audit teams.
Covering defensive steps in internal communications.
Sysdig's cloud-native security approach and Falco project.
Balancing prevention, detection, and response capabilities.
Integrating security tooling with customer workflows and SOCs.
Providing 24/7 monitoring and rapid response services.
Correlating workload, identity, and control plane activities.
Detecting unusual reconnaissance and lateral movement behaviors.
Daisy-chaining events to identify potential compromise chains.
Tracking historical identity activity patterns for anomaly detection.
Aligning security with business impact assessment and reporting.
Adapting SOC team skills for cloud-native environments.
Resource and disruption cost concerns for cloud agents.
Importance of "do no harm" philosophy for response.
Enhancing existing security data sources with cloud context.
Challenges of post-incident forensics vs. real-time response.
Bridging security, DevOps, and executive domains.
Ep075: Beyond Compliance: Crafting Effective Security Culture with leaders from Clumio, Mongo DB, Symphony and AWS
Épisode 75
mardi 21 janvier 2025 • Durée 47:28
From hard-coded credentials to boardroom buy-in, join four tech security leaders from Clumio, Mongo DB, Symphony and AWS, as they unpack how building the right security culture can be your organization's strongest defense against cyber threats.
Topics Include:
Security culture is crucial for managing organizational cyber risk
Good culture enables quick decision-making without constant expert consultation
Many security incidents occur from well-meaning people getting duped
Panel includes leaders from AWS, Symphony, MongoDB, and Clumio
Measuring security culture requires both quantitative and qualitative metrics
Self-reporting of security incidents shows positive cultural development
Security committees' participation helps measure cultural engagement
Hard-coded credentials remain persistent problem across organizations
Internal audits and risk committees strengthen security governance
Public security incidents change board conversations about priorities
Leadership vulnerability and transparency help build trust
Being pragmatic beats emotional responses in security leadership
Security programs should align with business revenue goals
Customer security requirements drive program improvements
Excessive security questionnaires drain resources from actual security
Security culture started as exclusionary, evolved toward collaboration
Financial institutions often create unnecessary compliance burden
Early security involvement in product development prevents delays
Security teams must match development team speed
Trust between security and development teams enables efficiency
Ep074: Unlocking Global Growth - Mastering Compliance Across Boundaries
Épisode 74
mardi 14 janvier 2025 • Durée 27:56
AWS executive Giancarlo Casella explains how organizations can navigate global privacy regulations and achieve compliant international expansion using AWS's privacy reference architecture.
Topics Include:
Welcome to executive forum on security and Gen AI
Introduction of Giancarlo Casella from AWS Security Assurance Services
AWS helps organizations with compliance and audit readiness
Global expansion requires understanding local privacy laws
Germany and France interpret GDPR differently
Germany has Federal Data Protection Act (BDSG)
France focuses on consumer privacy through CENIL
Risk of non-compliance includes fines and reputation damage
Ep073: The Evolving Threat Landscape – Reshaping Cybersecurity Practices
Épisode 73
mardi 7 janvier 2025 • Durée 32:50
Haggai Polak – Chief Product Officer, Securonix and a veteran cybersecurity expert examines how artificial intelligence, quantum computing, and resource constraints are fundamentally transforming the threat landscape for security leaders
Topics Include:
AI transformation of cybersecurity landscape from past tactical focus
CISO accountability and regulatory pressures increasing significantly
Attack surface expanding beyond traditional network boundaries
Quantum computing threatens current cryptographic protections
Defenders remain understaffed and outmatched against sophisticated threats
Securonix leads SIEM/SOAR space with 1000+ global customers
World Economic Forum identifies misinformation/disinformation as major crisis
AI benefits attackers more than defenders currently
Small/medium enterprises falling below cyber poverty line
AI enables faster, more sophisticated malware development
Deepfakes caused $25M loss in Hong Kong CFO impersonation
Digital tsunami: broadband, IoT, cloud everywhere expanding attack surface
50+ democracies face election security challenges in 2024
Cloud intrusions increased 75% between 2022-2023
Quantum-resistant cryptography transition needed within 10 years
SEC regulations require specific cybersecurity incident disclosure guidelines
4 million unfilled cybersecurity positions globally
81% of organizations faced ransomware attacks in 2023
Insider threats increasing with remote work adoption
30,000+ vulnerabilities published last year, half critical/high
Mean time to exploit now 44 days
Securonix Eon leverages AI to increase analyst efficiency
Dark web selling corporate credentials for $10,000
Balance needed between protection and detection/response investments
Ep072: From Alerts to Action - How Datadog Manages Security Incidents with AI
Épisode 72
lundi 30 décembre 2024 • Durée 23:44
Dr. Yanbing Li, Chief Product Officer at Datadog, outlines how the company has integrated AI and automation into its incident response framework, helping customers manage both traditional security challenges and emerging AI-specific risks.
Topics Include:
Introduced talk about incident response and CISO liability
Datadog founded 14 years ago for cloud-based development
Platform unifies observability and security for cloud applications
Current environment has too many fragmented security products
SEC requires material incident reporting within four days
Response team includes Legal, Security, Engineering, and Product
System tracks non-material incidents to identify concerning patterns
Real-time telemetry data drives incident management automation
On-call capabilities manage escalation workflows
Datadog uses own products internally for incident response
Company focuses on reducing time to incident detection
AI brings new risks: hallucination, data leaks, design exploitation
Bits.ai launched as LLM-based incident management co-pilot
Tool synthesizes events and generates incident summaries
Bits.ai suggests code remediation and creates synthetic tests
Security built into AI products from initial design
Prompt injection prevented through structured validation approach
Sensitive data anonymized before LLM processing
Engineering and security teams collaborate closely on AI
LLM observability becoming critical for production deployments
Customers need monitoring for hallucinations and token usage
Datadog extends infrastructure monitoring into security naturally
Company maintains strong partnership with AWS
Q&A covered Bits.ai proactive capabilities and enterprise differentiation
Podcasts Similaires Basées sur le Contenu
Découvrez des podcasts liées à AWS for Software Companies Podcast. Explorez des podcasts avec des thèmes, sujets, et formats similaires. Ces similarités sont calculées grâce à des données tangibles, pas d'extrapolations !
