Workout before bed to reduce belly fat

Nice tips to reduce belly fat
https://www.instagram.com/reel/C4p5CTaPEzM/?igsh=MXhybzBqcnlrMDBveA==

Channel Pembelajaran IT di YouTube

AI application for Law Firm / Legal Industry

AI technology has been making significant inroads into the legal industry, helping law firms to increase efficiency, reduce costs, and provide better services. Here is a list of AI technologies and applications that can be particularly beneficial for law firms:

1. **Document Review and Analysis:**
– AI-powered tools can quickly sift through thousands of legal documents to identify relevant information for cases, due diligence, or compliance checks, vastly reducing the time lawyers spend on manual review.

2. **Legal Research:**
– AI systems can assist in legal research by finding relevant statutes, case laws, and legal precedents more efficiently than traditional methods.

3. **Predictive Analytics:**
– Some AI applications can predict legal outcomes based on historical data, helping lawyers to strategize more effectively by assessing the likely success of different legal arguments or understanding trends in judicial decisions.

4. **Contract Analysis and Management:**
– AI can help in analyzing contract terms, identifying potential risks, and managing contractual obligations, ensuring that key dates and milestones are not missed.

5. **Due Diligence:**
– During M&A activities, AI can streamline the due diligence process by rapidly reviewing a large volume of documents to extract and summarize pertinent information.

6. **E-discovery:**
– AI tools can improve the e-discovery process by automatically classifying, tagging, and organizing electronic data, making it easier for lawyers to locate evidence for litigation.

7. **Legal Drafting:**
– AI-powered drafting tools can help generate legal documents by using templates and ensuring that the documents comply with current laws and regulations.

8. **Intellectual Property Analysis:**
– AI can assist in patent searches, trademark monitoring, and analyzing IP portfolios, helping firms to manage their clients’ intellectual property more effectively.

9. **Chatbots and Virtual Assistants:**
– AI-driven chatbots and virtual assistants can handle client inquiries, schedule appointments, and even provide initial legal advice on simple matters.

10. **Natural Language Processing (NLP):**
– NLP enables AI to understand and interpret human language, which is crucial for analyzing legal texts and facilitating better human-computer interactions.

11. **Risk Assessment:**
– AI systems can assess and predict risks in various scenarios, allowing law firms to better advise their clients on potential legal risks.

12. **Case Management Systems:**
– Enhanced with AI, these systems can automate workflows, track deadlines, and ensure that cases are handled efficiently.

13. **Billing and Time Tracking:**
– AI can automate the tracking of billable hours and ensure accurate invoicing, minimizing the time spent on administrative tasks.

14. **Client Relationship Management (CRM):**
– AI-enabled CRMs can analyze data to provide insights into client relationships, helping firms to tailor their services and identify new business opportunities.

15. **Compliance Monitoring:**
– AI systems can continuously monitor and analyze changes in legislation and regulations to help firms stay compliant with relevant laws.

While these technologies present numerous advantages, law firms should also be aware of the ethical considerations and ensure that the use of AI complies with professional conduct rules and client confidentiality obligations. Additionally, AI is not a substitute for professional judgment and expertise, but rather a tool to enhance the efficiency and effectiveness of legal practitioners.

10 rules of Japanese ikigai 🍁

This

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SHIELD: Secret to staying healthy at 75

SHIELD:

– Sleep good
– How to handle stress (pray, meditation,etc)
– Interaction: ngobrol, silaturahmi
– Exercise (jogging, swim, etc)
– Learn: new things like reading, edit videos, etc
– Diet (Low carbo, low sugar, plenty of fruit & vegie)

Ref: https://www.instagram.com/reel/Cv4sEFsrTfd/?igshid=MTc4MmM1YmI2Ng==

Penipuan scam atas nama call center BPJS Kesehatan

Mohon berhati-hati. Barusan hampir kena phising. Barusan ada yg nelpon ke rumah mengaku dari call center BPJS Kesehatan. Suaranya persis banget seperti perempuan dari call center (bisa jadi pakai suara AI). Dia ngasih tahu bahwa kartu Anda dinonaktifkan sementara karena ada penggunaan BPJS Kesehatan untuk pengambilan obat golongan G/obat penenang. Dia tanya-tanya nomor BPJS dan nomor NIK untuk verifikasi. Mohon agar tidak dikasih tahu ya krn ini modus kejahatan scam penipuan. Jangan serta merta gampang terhipnotis via telepon. Mhn agar selalu waspada. 🙏

Cyber Security Layer of Protection

Information Security Protection Mechanism:

Spectrum of Data Analysis

How to load a dataset into a DataFrame in Python

• Import the pandas package with the alias pd.
• Import the file 'tweets.csv' using the pandas function read_csv(). Assign the resulting DataFrame to df.
• Complete the for loop by iterating over col, the 'lang' column in the DataFrame df.
• Complete the bodies of the if-else statements in the for loop: if the key is in the dictionary langs_count, add 1 to the value corresponding to this key in the dictionary, else add the key to langs_count and set the corresponding value to 1. Use the loop variable entry in your code.

# Import pandas
import pandas as pd

# Import Twitter data as DataFrame: df
df = pd.read_csv('tweets.csv')

# Initialize an empty dictionary: langs_count
langs_count = {}

# Extract column from DataFrame: col
col = df['lang']

# Iterate over lang column in DataFrame
for entry in col:

    # If the language is in langs_count, add 1 
    if entry in langs_count.keys():
        langs_count[entry] += 1
    # Else add the language to langs_count, set the value to 1
    else:
        langs_count[entry] = 1

# Print the populated dictionary
print(langs_count)

# {'en': 97, 'et': 1, 'und': 2}