AI Shots - Business
39 videos • 585 views • by NILG AI - AI Strategy for Businesses
1
Should You Use AI? 5 Key Properties of Any Good AI AUTOMATION #digitaltransformation #business #data
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2
3 Strategies to SCALE Your BUSINESS: stop micromanaging
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3
AI doesn’t need Big Data: small datasets with good data quality are king
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4
AI chose our baby’s name
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5
From nice-to-have AI features to multi-million dollar opportunities
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6
AI models: choose the right PREDICTIVE TARGET
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7
How to prioritize AI use cases?
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8
Is it the right time to use AI in your company?
NILG AI - AI Strategy for Businesses
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9
How much historical data do I need to train an ML model?
NILG AI - AI Strategy for Businesses
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10
Generative AI: Open source vs. OpenAI?
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11
SAFE AI: 5 strategies to MITIGATE Generative AI RISKS at your company
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12
9 Generative AI RISKS you should AVOID at your company
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13
Business-centric AI: how to THINK about AI from a BUSINESS point of view
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14
Garbage in, Garbage out? Revealing the Data Cleaning Myth
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15
Data PRIVACY and Generative AI? Protect your Company Data and Personal Data
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16
Predictions on how AI will impact your job
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17
Democratizing AI adoption: ChatGPT breaks entry barriers for small businesses
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18
Supervising AI models: Imitating human vs. choosing the optimal decision
NILG AI - AI Strategy for Businesses
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19
How to remove business bottlenecks when embracing AI?
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20
Constraining data collection for training AI models? Finding the Sweet Spot
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21
What is Machine Learning? How can it transform your business?
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22
AI in Healthcare: patients, hospitals and societies
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23
7 reasons why people avoid AI models
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24
Detection, Prediction or Prevention? How to choose the right approach?
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25
Who should be in AI discovery meetings?
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26
How to build credit scoring models?
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27
Long vs. short-term predictions?
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28
18 Artificial Intelligence Use Cases in Real Estate
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29
What is a prediction? How can predictive analytics transform your business?
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30
What does Artificial Intelligence mean for your business?
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31
How to avoid CHURN using AI?
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32
How much data do I need to train a ML model?
NILG AI - AI Strategy for Businesses
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33
DATA is not AVAILABLE: Dealing with DELAYED data
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34
Infrastructure vs. Exploration in AI
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35
Who to hire first? Data analyst, Data Scientist or Data Engineer
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36
11 AI Marketing applications to improve your customer journey
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37
Predictions are TRASH, Decisions are KING
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38
How to transform RISKS into opportunities with AI
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39
6 ways to MONETIZE AI in your business
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