The document outlines a webinar by MC+A focusing on the transition from Google Search Appliance (GSA) to new solutions, detailing the agenda, speakers, and key topics such as the importance of planning for changes in search technology. It emphasizes the need for businesses to evaluate their current GSA usage, assess goals, and consider options like Google Cloud Search and IBM Watson Explorer for future needs. MC+A highlights its expertise in business intelligence and technology transformation, advocating for a strategic approach to search-related processes and data management.

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Beyond Keyword Search
Planning for Transition

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Ground rules
+ To ensure audio quality, all attendees are muted.
+ Feel free to put any questions into the GotoWebinar chat area.
+ Having issues? Email marketing@mcplusa.com or Follow
@mcplusa and we’ll respond via Direct Message or by email.

3. MC+A - Confidential and Proprietary
Agenda
1. Intro
2. Welcome
3. About MC+A
4. GSA Overview: The Long Winding Road.
5. Plan your Transition
a. Steps
b. Alternatives
6. IBM
7. Google Search Appliance Manage Services
8. Q&A

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Today’s Speakers
ALYCE OUTLAW
NA Watson Development Mgr
IBM
JIM GRECNI
Watson Executive IT Architect
IBM
Michael Cizmar
Managing Director
MC+A

5. MC+A - Confidential and ProprietaryMC+A - Confidential and Proprietary
About MC+A
Connecting Business Intelligence.

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Leadership
Award Winning
We won the Innovation Partner of the year
award from Google Search for Work.
Global Company
Offices located in Chicago, San Francisco
and Santiago Chile.
Deep experience
Over 200 search related deployment, 12
commercial content connectors & 15 years
of experience in search.
Transformative
We transform business through technology
and change management. We help users find
magical moments that previously did not
exist.

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What we do

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Our Clients

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Our Practices
Cognitive Solutions
Search should be a vital part of every business
process and workflow.
Custom Development
Onshore and nearshore custom application
and solution development.
Analytics/Big Data
If it is worth building it should be worth
measuring. Data is the new currency in the
enterprise.
Change Management
Moving from current state to future state in
the enterprise, involving people, process and
technology.

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A Look Backward
Google Search Appliance

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What did the GSA attempt to solve?
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Where we’re at today.
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Last chance to get your GSA -
Enjoy 2 year sales through 2016.
GSA Introduction - First Google
product for enterprises in the
market.
Goodbye GSA - No new sales.
Appliances start to shut off.
No new sales - Get 1 year
extensions through 2017.

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Plan your Transition
Plan early plan often

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It Starts with an Assessment
What did you aim to accomplish by implementing a Google Search Appliance
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High Level Questions for Assessment
+ How many GSA’s do we have?
+ Which part of the business owns the GSA’s?
+ Do you have resources allocated to keep them working?
+ What connectors/content sources are being indexed?
+ Deployment done with internal/external resources?
+ Are Analytics being tracked and reported?
We have an assessment guide to help

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Did your GSA initiative achieve its goals
Audit the GSA to determine what it was meant to...was it successful
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Did we achieve our goals?
+ Assess accomplishments to original goal?
+ Do you want an OEM equivalent?
+ Identified gaps that should be resolved in any migration?
Get our GSA Assessment Guide .

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Beyond Keyword
MC+A - Confidential and Proprietary
Plan for the Future

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Google Cloud Search
Google’s future cloud based search solution
MC+A - Confidential and Proprietary

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Google Cloud Search

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Move to Cloud
Considering the opportunity of the Cloud
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Move to the Cloud

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On Premise Open Source
Options for On Premise
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Stay On Premise

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Moving Beyond Keyword Search
JIM GRECNI
Watson Executive IT Architect - IBM

28. Jim Grecni
Watson Executive IT Architect
grecni@us.ibm.com
Watson Explorer Overview

29. ©IBM 2016
Please do not distribute without permission
2
Discovery
• Help find questions
you’re not thinking to ask
• Connect the dots &
uncover new pathways
• Lead to new inspiration
Exploration
• Connect Information
• Identify correlations &
insights
• Explore your problem
area better
Engagement
• Understand, handle & fulfill
intents
• Engage in a dialog with
users
• Answer questions around
products & services
• Evaluate a presented
condition or a pattern
• Check against a set of written
policy assertions
• Simplify decision making
through cognitive
visualization
Cognitive
Interactions
Today, Watson broadly enables four classes of interactions
Decision

30. IBM Confidential
What is Watson Explorer?
Elevator Pitch
IBM Watson Explorer combines search and content analytics with unique cognitive computing capabilities to
help users find and understand the contextual information they need to work more efficiently and make better,
confident decisions at the point of impact.
Watson Explorer enables organizations to
• Explore: Securely connect to, search and explore all of your organization's data, regardless of format or
where it is stored or managed
• Analyze: Gain insights from unstructured dark data with advanced content analytics using hypothesis-free
discovery
• Interpret: Scale expertise with leading-edge cognitive services from Watson Developer Cloud

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Enterprise Search Content Analytics360°Bus. Applications
Watson Explorer: 3 Ways to Explore & Analyze

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Watson Explorer Component View
Security
Management and application development
Query
Routing
Mobile Collaboration Application
Builder
Solution
Gallery
Content
Miner
Studio
Connectivity
…
CMS Email DBMS ExternalCRMWikisSupport Social SCMFile
systems
CloudBig Data
Indexing, search and analytics
Indexing Search
Content
Analytics
Text Analytics
= available with
Advanced Edition
Watson Explorer Applications
Search • Analyze • Interpret
Watson Developer
Cloud
Cognitive and information
analysis services
Question Answer
Relationship Extraction
Concept Expansion
User Modeling
Language Identification
Machine Translation
Message Resonance
… more …

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Connect to new data sources through custom connectors
Connectivity
…
CMS Email DBMS ExternalCRMWikisSupport Social SCMFile
systems
CloudBig Data

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How Watson Explorer Learns
Knowledge
Curation
Ground Truth
Creation
Annotator
Development
Annotator
Evaluation
Runtime
Deployment
Rules-Based
• Uses rules to perform natural language
analysis
• Better approach with smaller number of
entities, simple relationships
• Easy to trace and debug
• May require programming for the rules,
sometimes with a significant learning
curve
• Difficult to maintain as the complexity
grows
Machine Learning
• Uses inferences and statistical models to
perform natural language analysis
• Taught by examples without the need to
write code
• Better approach with large number of
entities, complex relationships
• Somewhat opaque to the developer and
can be more difficult to debug
• Requires creating ground truth
Watson Explorer Content Analytics Studio Watson Knowledge Studio
DEV SME
• Cloud Based
• Intuitive, No Code Writing
• Collaborative
• Cost Effective
• Enables a Hybrid Approach
• Supervised Training Yields High Precision
• Use Existing WEX CA Studio Annotators to
“Bootstrap” Machine Learning
• Lower Training Time by Factor of 2
Watson Knowledge Studio Benefits
Data Source
Crawl and
Contextualize
Position for
access
Analyze Output
For an animated overview, please go to:
https://www.youtube.com/watch?v=ymUFadN_MO4
John Smith works for IBM. He has been in Big Blue for 20 years.
Person ORG
Requires transforming unstructured data to structured data
and preparing it before it can be used for further analysis.
What is Annotation?
(Text Analytics)

35. IBM Confidential
• Best of breed enterprise search
• On premise, public or private cloud
• Flexible connectivity framework
• Secure access per security model of repository
• Search external and non-indexed sources
• Unified view of customers, products, and other
entities
• Powerful application builder
• Collaboration tools
Exploring enterprise content with unified information applications
Narrative

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Use Application Builder to quickly build applications leveraging
Watson Explorer content as well as 3rd party systems such as SAP
Hana.
Client data from
cloud and
enterprise
systems
News highlighted
with Watson
Relationship
Extraction service
Account holdings
from systems of
record
Customer e-mails
from corporate email
system
Client notes from
CRM
Recommendations
and alerts based on
structured and
unstructured content
User’s search can
be submitted to
Watson Developer
Cloud services
simultaneously
Narrative

37. IBM Confidential
Unified information applications
Information, analytics and insights presented in context
Dialog* and NLC* services
enable natural language
interaction with a user
Personality Insights* for
deeper understanding of
client
Data from enterprise
systems such as CRM,
DBMS, CMS and SCM
Analytics, in context
Activity feed for up-to-the-
moment information
Data-driven alerts
Content analytics to reveal
insights from unstructured data
Collaboration and
information sharing
*Uses Watson Developer Cloud service
Narrative

38. IBM Confidential
Analyze unstructured content with Content Miner
Documents Facets Time Series Deviations Trends
Facet Pairs Dashboard SentimentConnections Reports
Watson Explorer Advanced Edition
Narrative

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NHTSA Sample Data

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Content Analytics Studio
• Tailor Watson Explorer to your business
domain with advanced rule-based
annotators
• Business users and SMEs can build rules
for specific domains and languages
• No need write code - simple drag-and-drop
interface
Create
Validate
Analyze
Modify/
Deploy
Watson Explorer Advanced Edition
Narrative

41. IBM Confidential
Add new annotations with rule or machine learning models from
Watson Knowledge Studio.

42. IBM Confidential
Forrester ranks IBM a leader in search and knowledge discovery (2015)
Source: Forrester Research, 2015
“Hard questions make for hard answers. With
Watson Explorer, IBM aims to make it easier to ask
and answer hard questions. Watson Explorer allows
domain experts to “train” the search engine to
enhance the results. They can also enrich search
indexes with advanced analytics such as sentiment
analysis, image tagging, feed detection, and more
by providing direct access to its Watson Developer
Cloud, including the recently acquired AlchemyAPI.”
The Forrester Wave™: Big Data Search and
Knowledge Discovery, Q3 2015
OK to distribute to customers
Narrative

43. IBM Confidential
Watson Explorer can be used as a standalone product behind an
enterprise’s firewall and with other Watson cloud based
services.
SaaS
Watson Knowledge
Studio
Watson Virtual Agent
PaaS
Language
AlchemyLanguage
Conversation
Document Conversion
Language Translator
Natural Language
Classifier
Personality Insights
Retrieve and Rank
Tone Analyzer
On-Premises
Watson Explorer
Speech
Speech To Text
Text to Speech
Vision
Visual Recognition
Data Insights
AlchemyData
News
Discovery
Tradeoff Analytics

44. IBM Confidential
Watson Explorer delivers cognitive exploration
Analyze, visualize, and
discover insight in
unstructured data
through NLP and text
analytics
Explore information from
internal and external content
through unified information
applications
Interpret by applying
cognitive capabilities to
enhance, scale, and
accelerate human expertise
Watson Explorer
Cognitive Exploration
ü Exploration across many
different sources
ü Content analytics
ü Cognitive insights
ü Delivered in a unified
information application
Watson Explorer Advanced Edition
Narrative

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Google Search Appliance Manage Services
Wrapping Up
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Questions?
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Connecting With Us
www.mcplusa.com
plus.google.com/+mcplusa @mcplusa fb.com/mcplusa Channel MC+A
linkedin.com/company/mc-amarketing@mcplusa.com
MC+A - Confidential and Proprietary