|
|
|
In This Edition:
|
|
|
|
|
|
|
-
An MVP is
not a
Cheaper
Product.
It's about
Smart
Learning (Link)
-
What VCs
Aren’t
Telling SaaS
Startup
Founders
About
Securing Big
Funding (Link)
-
The
Importance
of Execution
- Jensen
Huang
(NVIDIA) (Link)
-
The First
Six Months
of NVIDIA-
Jensen Huang
(NVIDIA) (Link)
-
Are Skills
and
Experience
Enough? 10
Traits Every
Small-Business
Team Member
Must Have! (Link)
-
Ready to
Ride the AI
Wave?
Discover 25+
Lucrative AI
Business
Ideas for
2024! (Link)
-
Ever Wonder
How $100
Million Gets
Raised in
Tough Times?
Learn the
Process! (Link)
-
"How Did a
Bad
Immigration
Experience
Inspire a
Legal Tech
Revolution?
Discover
Alma's
Journey from
Frustration
to
Innovation" (Link)
-
How Can
Asking 'What
If?'
Transform
Your
Leadership
Strategy? (Link)
|
|
|
|
|
-
How to
Build an
End-to-End
ML Platform (Link)
-
Is
Open-Sourcing
the Future
of AI?
Hugging
Face’s
Clement
Delangue
pushes AI to
rewrite old
rules. (Link)
-
OpenAI’s
Five-Level
System:
Charting the
Path to
Human-Level
AI (Link)
-
Apple
Intelligence
and OpenAI
Partnership
to Transform
Siri (Link)
-
Microsoft
Steps Down
from
Observer
Seat on
OpenAI Board
Amid
Regulatory
Concerns (Link)
-
Perplexity
to Launch
Revenue
Sharing
Program with
Web
Publishers
Next Month (Link)
-
Elon Musk's
X Tests
Dislike
Button,
Sparking
Debate on
Potential
Negativity (Link)
-
Samsung Set
to Launch
Upgraded
Bixby with
Enhanced AI
This Year (Link)
|
|
|
|
|
-
Doctor-Focused
Wealth Tech
Firm Raises
$200
Million,
Targets
M&A
Opportunities (Link)
-
SoftBank
Acquires
U.K. Chip
Company
Graphcore
Amidst
Market
Speculations (Link)
-
Defense AI
Startup
Helsing
Secures
$487M in
Series C
Funding for
Baltic
Expansion (Link)
-
Sequoia and
Nvidia Back
Fireworks AI
with $552
Million
Valuation (Link)
-
Medal
Raises $13M
for
Expansion of
AI-Driven
Desktop
Assistant (Link)
-
NYC-Based
Startup
Nagish
Secures $16M
in Funding
for
AI-Driven
Communication
Solutions (Link)
-
Honeywell
Expands with
$1.81
Billion
Purchase of
Air
Products'
LNG Division (Link)
-
Iconic AI
Raises $4
Million with
Innovative
10-Slide
Pitch Deck (Link)
-
Shark
Tank-Funded
Kudos
Secures $3M
Boost for
Cotton-Based
Disposable
Diapers (Link)
-
"Regard
Secures $61M
to Enhance
AI-Powered
Clinical
Insights
Platform (Link)
|
|
|
|
|
|
STARTUPS
GROUNDSWELL
|
Record-Breaking
Quarter: AI
Startups Secure
$24.2 Billion in
Funding
|
|
|
|
In the second
quarter of 2024,
AI startups saw a
massive influx of
funding, totaling
$24.2 billion
across 1,001
deals.
|
|
Notably, Elon
Musk's xAI
garnered a $6 billion
investment,
CoreWeave was
valued at $19 billion
after raising $1.1 billion, and Wayve
secured $1.05
billion from a
SoftBank-led
round.
|
|
This trend
underscores a
strategic shift by
investors towards
fewer, but larger
bets on AI firms
with substantial
growth potential.
For more detailed
insights, read the
full report here.
|
|
|
|
|
|
PROMPT USE
CASE
|
How ChatGPT is
Shaping the
Future of
Strategic
Decision-Making
and
Problem-Solving
|
|
ChatGPT works by
leveraging
large-scale
machine learning
models trained on
diverse datasets.
|
|
It analyzes the
input data,
whether textual or
numerical, and
utilizes its
training to
provide relevant
and context-aware
insights.
|
|
When applied to
decision-making
and
problem-solving in
a business
context, ChatGPT
can sift through
vast amounts of
data quickly and
efficiently.
|
|
It identifies
patterns, predicts
outcomes, and
suggests
optimizations
based on
historical data
and emerging
trends.
|
|
This capability
allows it to
support a variety
of job functions
and industries by
offering tailored
recommendations
and facilitating
data-driven
decision-making
processes.
|
Why Use It
|
-
⚙️ Efficiency: Automates
the data
analysis
process,
reducing the
time
required to
derive
insights
from large
datasets.
-
Accuracy: Leverages
advanced
algorithms
to minimize
human error
and provide
precise
analyses.
-
Scalability: Easily
handles
increasing
amounts of
data, making
it suitable
for growing
businesses
and
expanding
market
demands.
-
Accessibility: Provides
easy-to-understand
insights
that empower
employees at
all levels,
regardless
of their
technical
expertise.
-
Cost-effective: Reduces
the need for
extensive
human labor
in data
analysis,
thereby
lowering
operational
costs.
|
Prompt
Example
|
|
Situation: You are a
product manager
looking to enhance
the features of a
software
application based
on user feedback
and usage data
over the last
quarter.
|
Prompt:
|
|
|
|
By using ChatGPT
in this manner,
businesses can not
only streamline
their
decision-making
processes but also
enhance their
responsiveness to
maret changes and
user needs,
ultimately leading
to better business
outcomes
|
|
|
|
|
|
|
|
|
|