AI and ML for Business Leaders
ASO Keyword Dashboard
Tracking 98 keywords for AI and ML for Business Leaders in Apple App Store
AI and ML for Business Leaders tracks 98 keywords (no keywords rank yet; 98 need traction). Key metrics: opportunity 70.4, difficulty 39.9.
Tracked keywords
98
0 ranked • 98 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
70.4
Top keyword: organization
Avg difficulty
39.9
Lower scores indicate easier wins
Opportunity leaders
- 66.9
organization
Opportunity: 73.0 • Difficulty: 40.3 • Rank —
Competitors: 34
- 66.2
exercises
Opportunity: 73.0 • Difficulty: 39.8 • Rank —
Competitors: 40
- 66.3
driven
Opportunity: 73.0 • Difficulty: 39.9 • Rank —
Competitors: 36
- 66.8
practical
Opportunity: 73.0 • Difficulty: 40.2 • Rank —
Competitors: 21
- 66.9
strategic
Opportunity: 73.0 • Difficulty: 40.6 • Rank —
Competitors: 166
Unranked opportunities
organization
Opportunity: 73.0 • Difficulty: 40.3 • Competitors: 34
exercises
Opportunity: 73.0 • Difficulty: 39.8 • Competitors: 40
driven
Opportunity: 73.0 • Difficulty: 39.9 • Competitors: 36
practical
Opportunity: 73.0 • Difficulty: 40.2 • Competitors: 21
strategic
Opportunity: 73.0 • Difficulty: 40.6 • Competitors: 166
High competition keywords
time
Total apps: 192,044 • Major competitors: 1,611
Latest rank: — • Difficulty: 53.4
free
Total apps: 163,538 • Major competitors: 2,215
Latest rank: — • Difficulty: 52.9
make
Total apps: 160,535 • Major competitors: 1,612
Latest rank: — • Difficulty: 52.7
help
Total apps: 149,169 • Major competitors: 1,295
Latest rank: — • Difficulty: 52.4
create
Total apps: 118,223 • Major competitors: 1,230
Latest rank: — • Difficulty: 51.5
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| free | 65 | 100 | 53 | 87 163,538 competing apps Median installs: 100 Avg rating: 4.2 | — | — | 2,215 major competitor apps |
| level | 68 | 100 | 48 | 79 51,380 competing apps Median installs: 75 Avg rating: 4.2 | — | — | 674 major competitor apps |
| artificial intelligence | 72 | 100 | 36 | 61 4,173 competing apps Median installs: 50 Avg rating: 4.1 | — | — | 17 major competitor apps |
| ready | 68 | 100 | 48 | 79 51,917 competing apps Median installs: 75 Avg rating: 4.2 | — | — | 743 major competitor apps |
| right | 67 | 100 | 50 | 82 82,702 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 941 major competitor apps |
| make | 65 | 100 | 53 | 87 160,535 competing apps Median installs: 75 Avg rating: 4.1 | — | — | 1,612 major competitor apps |
| learn | 67 | 100 | 49 | 81 72,877 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 581 major competitor apps |
| organization | 73 | 100 | 40 | 67 9,860 competing apps Median installs: 25 Avg rating: 4.1 | — | — | 34 major competitor apps |
| way | 66 | 100 | 51 | 84 106,444 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 1,095 major competitor apps |
| time | 65 | 100 | 53 | 88 192,044 competing apps Median installs: 50 Avg rating: 4.1 | — | — | 1,611 major competitor apps |
| exercises | 73 | 100 | 40 | 66 8,971 competing apps Median installs: 50 Avg rating: 4.4 | — | — | 40 major competitor apps |
| journey | 69 | 100 | 47 | 78 47,451 competing apps Median installs: 50 Avg rating: 4.3 | — | — | 395 major competitor apps |
| help | 65 | 100 | 52 | 87 149,169 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 1,295 major competitor apps |
| various | 69 | 100 | 47 | 79 49,082 competing apps Median installs: 50 Avg rating: 4.1 | — | — | 333 major competitor apps |
| driven | 73 | 100 | 40 | 66 9,082 competing apps Median installs: 50 Avg rating: 4.3 | — | — | 36 major competitor apps |
| test | 69 | 100 | 46 | 77 38,346 competing apps Median installs: 50 Avg rating: 4.1 | — | — | 408 major competitor apps |
| effective | 72 | 100 | 42 | 70 16,203 competing apps Median installs: 25 Avg rating: 4.2 | — | — | 65 major competitor apps |
| create | 66 | 100 | 51 | 85 118,223 competing apps Median installs: 75 Avg rating: 4.2 | — | — | 1,230 major competitor apps |
| tools | 69 | 100 | 46 | 76 37,047 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 319 major competitor apps |
| practical | 73 | 100 | 40 | 67 9,816 competing apps Median installs: 25 Avg rating: 4.2 | — | — | 21 major competitor apps |
| ai | 69 | 100 | 47 | 78 44,542 competing apps Median installs: 50 Avg rating: 4.3 | — | — | 329 major competitor apps |
| strategic | 73 | 100 | 41 | 67 9,948 competing apps Median installs: 75 Avg rating: 4.2 | — | — | 166 major competitor apps |
| current | 68 | 100 | 49 | 81 68,045 competing apps Median installs: 75 Avg rating: 4.2 | — | — | 765 major competitor apps |
| problem | 73 | 100 | 39 | 65 7,539 competing apps Median installs: 75 Avg rating: 4.1 | — | — | 59 major competitor apps |
| apply | 72 | 100 | 43 | 70 14,734 competing apps Median installs: 75 Avg rating: 4.1 | — | — | 194 major competitor apps |
App Description
We will also demonstrate practical case studies in the course that will help you to apply this on your business. There are videos and articles to learn on the go and exercises to test your learning.
By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business.
The course is divided into modules to make learning easier:
Course Modules:
• Introduction to Artificial Intelligence
• Common Tools, Techniques and Terminologies
• Applications of Artificial Intelligence and Machine Learning In the Real World
• Building AI Capabilities In Your Organization
• Artificial Intelligence Creation Process
• Promises and Challenges of Artificial Intelligence
You will learn the following techniques from the course:
• Common Terminologies
• Common Tools in the Data Science Spectrum
• Overview of Common Techniques
• Understanding of various Machine Learning techniques
• Stages of Model Building and Problem Definition
• Hypothesis Generation
• Data Extraction or Collection
• Data Exploration
• Basics of Model Building
• ML Projects and Model Evaluation
Case Studies of real world applications of Machine learning in the following domains have been covered:
• Banking
• Healthcare
• E-Commerce
• Telecom
• Human Resources
• Sales
• Operations
• Marketing
• Supply Chain
We have also covered how to build AI capability in your organization right from strategy, timelines, roles and keys all the way up to effective AI recruitment
In short, this course will act as a stepping stone in your journey to use data science in your organization to create value
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