Merge pull request #3270 from nateynateynate/3264-session-edits

Session updates for #3264

_community_members/mvanjiappan.md

@@ -0,0 +1,64 @@
+---
+#
+# Sample data for community members.
+#
+
+# The short name is used to identify related pieces of content in the site. For example it is used in the "authors" array of blog posts, and it is used in the "presenters" array for OpenSearch Conference sessions to identify who is speaking.
+# The format for existing values is not normalized. In some cases it is "first-initial-of-first-name" + "last-name", or matching a GitHub username, or something all together random. What is important is that it is unique within the system.
+short_name: "mvanjiappan"
+
+# The member's full name, or otherwise meaningful preferred name. It is used in the templates for presenting content authors as well as the name of conference speakers.
+name: "Mohanraj Vanjiappan"
+
+# The path to the community member's photo.
+#photo: "/assets/media/..."
+
+# Used as the level 1 page header text.
+primary_title: 'Mohanraj Vanjiappan'
+
+# Used as the document title displayed in the browser title bar.
+title: 'OpenSearch Project Community Member: Mohanraj Vanjiappan'
+
+# Community member job title and company where they work.
+job_title_and_company: ''
+
+# Array of conference IDs for which the community member is a keynote speaker, if any, or boolean false otherwise.
+# This value is only relevant for member's with the "conference_speaker" user persona.
+#keynote_speaker:
+#  - '2023-north-america'
+# keynote_speaker: false
+
+# The conference topic track for the conference sessions that the user is a speaker. These are shaped as an array of value pairs mapping conference ID and name. 
+# For example for the North American conference for the year 2023, and the "Community" track:
+session_track: 
+  - conference_id: "2024-north-america"
+    name: "Operating OpenSearch"
+
+# URL for the community member profile.
+permalink: '/community/members/vohanraj-vanjiappan.html'
+
+# Array of community member user personas.
+# At this time, only conference_speaker, and author are defined.
+personas:
+  - conference_speaker
+
+# Array of conference IDs that the member is a speaker.
+conference_id:
+  - "2024-north-america"
+
+
+# Optional GitHub username
+#github: githubusername
+
+# Optional LinkedIn username
+#linkedin: linkedinusername
+
+# Optional Twitter username
+#twitter: twitterusername
+
+# Optional Mastodon server url, and username / handle.
+#mastodon:
+#  url: https://mastodon.social/@mastodonusername
+#  name: mastodonusername
+---
+

_community_members/rmanickam.md

@@ -6,7 +6,7 @@ primary_title: Ramesh Kumar Manickam
 permalink: /community/members/rameshkumar-manickam.html
 photo: "/assets/media/community/members/Ramesh.jpg"
 
-job_title_and_company: "Sr Director at Transunion"
+job_title_and_company: "Senior Engineering Manager, TransUnion Global Capability Center Bangalore"
 
 
 conference_id:
@@ -22,3 +22,4 @@ personas:
 linkedin: ramesh-kumar-manickam-60b90a14
 
 ---
+Working as a Senior Engineering Manager At TransUnion Global Capability Center Bangalore. Solving problems in the domain of Risk & Fraud by leveraging cutting edge Technologies in digital landscape. Having 16+ years of IT Industry experience with hands on exposure to Java, Microservices, Google Clod Platform, Python, Data Science. Working in OpenSearch APIs, leveraging it to the fullest extend in the past couple of years.

_community_members/rnair.md

@@ -11,7 +11,7 @@ short_name: "rnair"
 name: "Rohit Nair"
 
 # The path to the community member's photo.
-photo: "/assets/media/community/members/no-image-available.svg"
+photo: "/assets/media/community/members/rohitnair.jpeg"
 
 # Used as the level 1 page header text.
 primary_title: 'Rohit Nair'
@@ -63,5 +63,4 @@ conference_id:
 #  url: https://mastodon.social/@mastodonusername
 #  name: mastodonusername
 ---
-
-Markdown or HTML content providing a user bio, or whatever is desired to describe their involvement in open source technology in general, and specifically how their work relates to the OpenSearch Project.
+Rohit Nair is a Software Development Engineer at AWS currently working on OpenSearch Serverless. He has previously worked on areas like UltraWarm storage for Amazon OpenSearch Service and Amazon Kinesis Data Streams. He loves working at the intersection of distributed systems, scale and performance

_opensearchcon_sessions/2024/north-america/2024-north-america-multitenancy-for-all-workloads.md

@@ -1,22 +1,22 @@
 ---
 
-speaker_talk_title: Multi-Tenancy for all Workloads
+speaker_talk_title: How AI/ML is changing information retrieval
 
-primary_title: Multi-Tenancy for all Workloads
+primary_title: How AI/ML is changing information retrieval
 
 primary_presenter: jhandler
 
 speaker_name_full: Jon Handler
 
-title: 'OpenSearchCon 2024 North America Session: Multi-Tenancy for all Workloads'
+title: 'OpenSearchCon 2024 North America Session: How AI/ML is changing information retrieval'
 
 session_time: '2024-09-25 - 10:00am-10:40am' 
 
 session_room: 'Continental BR 1-3' 
 
 session_track: 'Operating OpenSearch' 
 
-permalink: '/events/opensearchcon/sessions/multitenancy-for-all-workloads.html' 
+permalink: '/events/opensearchcon/sessions/how-ai-ml-is-changing-information-retrieval.html' 
 
 #youtube_video_id: 'SOME_YOUTUBE_VIDEO_ID' 
 
@@ -28,5 +28,4 @@ presenters:
 
 
 ---
-All OpenSearch workloads are multi-tenant! Search workloads with multiple indices, languages, or customers, or logs workloads with multiple data streams, are multi-tenant. Handling that tenancy means aligning resources against data for optimal performance. Learn the strategies and solutions! I’ll cover the three main tenancy models - siloed, pooled, and hybrid. I’ll cover how to implement them, and tradeoffs with each model. At large scale, tenancy becomes a burning issue. I’ll talk through how to break up large, multi-tenant workloads, with the right architectures and tenant distribution. I’ll also cover operationalizing your tenancy strategy with routing, isolation, tenant management, cost and resource allocation.
-
+When we work with information systems, we capture information in text and find information with text queries. Advances in AI have made it possible to move from word-to-word matching to something like meaning-to-meaning matching. Learn how search and OpenSearch unlock the meaning in your information. This session is foundational, covering why we search, and how we search to retrieve the best results. I will cover the core search algorithm, BM25 scoring, vectors (dense and sparse), LLMs, embedding generation and the neural and kNN plugins, exact, and approximate scoring.

_opensearchcon_sessions/2024/north-america/2024-north-america-scaling-operational-intelligence-into-business-intelligence-using-opensearch-genai-for-global-rollouts.md

@@ -23,7 +23,8 @@ permalink: '/events/opensearchcon/sessions/scaling-operational-intelligence-into
 conference_id: '2024-north-america' 
 
 presenters: 
-  - rmanickam 
+  - rmanickam
+  - mvanjiappan