03 March 2024

Incident Management Team

If you work as an Incident Controller (IC) or a member of the Incident Management Team (IMT), you need to have the knowledge about:
- Duties and responsibilities of the IC and IMT
- Management of Major Emergencies
- Principles of the Incident Command System (ICS)
- Strategy, tactics, command and control, communications, and coordination elements
- Information Management
- Different levels of incidents
- State of readiness
- Emergency Command Centre Facilities
- Plan during the Activation Phase (when the emergency alarm has been raised), through to the Deactivation Phase / Stand Down in several specific types of emergency scenarios

You also need the skills to:
- Respond to an incident and emergency
- Communicate with internal and external agencies
- Assess the situation and take effective action
- Delegate the authority to act
- Manage individual and team performance

#Fire #Safety #Survival #Oil #Gas #Emergency #Rescue #Security #Education #Leadership #Collaboration #Innovation #Excellence 

Knowledge About H2S

A few facts about H2S that you should know:
- H2S is dangerous gas!
- H2S is a highly flammable gas
- H2S can kill you!
- H2S has toxic
- H2S can be found in low-lying areas and Confined Spaces
- Most of all, H2S is usually attacked the unprepared Personnel and Workers

The Oil and Gas Personnel and Workers must have some 
- The physical properties and characteristics of H2S
- The hazards associated with H2S
- The physiological effects of exposure to H2S
- The role of the Response Team in an H2S Emergency
- Ways to detect H2S
- Ways to react to H2S
- Ways to measure H2S
- Ways to use onsite & personal detection equipment
- Ways to use Escape Breathing Apparatus (EBA), Self-Contained Breathing Apparatus (SCBA) and face mask
- The appropriate emergency response actions to take to handle H2S
- Ways to handle the incident

#Fire #Safety #Survival #Oil #Gas #Emergency #Rescue #Security #Education #Leadership #Collaboration #Innovation #Excellence

Professional Knowledge To Operate Drones

If your company gives you the work to operate Drones, then you need the professional knowledge and skills to operate Drones properly. You need to have the knowledge about:

- The function of Drones
- The improvements and developments in the high technology of Drones
- The benefits of the new technologies in Drones
- The innovative ways to utilize the power of Drones
- The components and equipment in Drones
- Ways to check Drones before flying and after flying
- Ways to operate Drones professionally
- Ways to move Drones
- Ways to conduct recording
- The basic flight skills and operations
- The risks and hazards of Drones Operation
- The Safety and Emergency Procedures
- Mitigation
- Ways to manage the battery
- Calibration

By knowing about Drones, you will know how to save time, increase safety and productivity, and solve problems and difficulties.

#DJI #Safety #Survival #Emergency #Security #Digital #Online #Education #Leadership #Collaboration #Innovation #Excellence #Drone #Drones 

Leadership

If you work as a Supervisor, Manager, or Executive, you need the right strengths to become a Great Leader. To become a Great Leader, you need to have the skills to:

- Serve
- Make decision
- Build trust
- Carry out good management
- Work with a team
- Manage the team
- Lead everyone, including Remote Workers
- Engage with everyone
- Delegate work in the right way
- Carry out strategic communication to the team
- Empower
- Provide training
- Achieve organizational and individual goals
- See things the right way
- Understand "culture"
- Handle Negative and Positive Cases, including conflicts
- Handle risks, hazards, and incidents
- Stop work when necessary
- Give good feedback
- Deal with fatigue and mental stress
- Have integrity, empathy, courage and humility
- Be loyal

#Security #Education #Leadership #Collaboration #Innovation #Excellence 

05 February 2024

AI Is Here Now And Today: Learning From AWS

Some people stated that “AI will be difficult to be used by companies”. In my opinion, this statement is inaccurate.

* According to the knowledge I have, Artificial Intelligence (AI) has long been used by various companies.
* Recent facts even show that several steps to increase investment and progress in the AI journey have been taken by several companies to move forward using Generative AI.
* Another fact is that some companies feel that they have not used AI because they actually do not know that the "3rd companies" they use have used AI, so in fact they have used AI indirectly.

To strengthen the knowledge I have, I conducted research on several IT companies, and one of them is Amazon Web Services (AWS). After attending several events and courses organized by AWS, I got some interesting information about AI and AWS. For deeper and easier-to-understand information about AI and AWS, please read my article below :-)


AI (Artificial Intelligence)

- AI is Artificial Intelligence that imitates Human Intelligence. Almost all AI Systems are built using Machine Learning (ML).
- ML uses data provided by humans to produce decisions similar to those made by humans.
- Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. Generative AI is powered by ML Models.

Benefits and advantages of using Artificial Intelligence (AI) in companies and businesses:
- AI improves human capabilities
- AI can monitor work and change the way employees work
- AI saves about 50 percent of work time
- AI can reduce operational costs
- AI improves company and employee performance and productivity
- AI improves business operations
- AI improves and accelerates growth in companies
- AI makes it easier for companies to provide service and improve customer response, and streamline conversations with customers
- AI improves customer experience and customer engagement
- AI improves creativity and content creation
- AI can help to operate the Robot
- AI can solve business challenges
- AI can provide the power to help transform businesses
- AI can create self-service processes
- AI can help companies gain knowledge and information more quickly and accurately, and solve problems more quickly
- AI can create various reports (business, financial, project) automatically and reduce errors
- AI can create more engaging marketing content (blogs, social media, and more)
- AI can build different experiences
- AI can accelerate innovation for all businesses, companies, and employees
- Decisions in the company can be taken better and faster
- Business can be done more quickly
- Success can be achieved more easily
- Data and content created can become more creative data and content

The bottom line is that AI is a new way to interact with technology :-)


AI And Companies

So why do some companies feel that they find it difficult to use AI and they don't need AI yet?
- They don't know how to start using AI
- They don't know how to take the first step towards using AI
- They don't know how to combine the old technology they have with AI
- They do not have proper knowledge about the benefits and advantages of AI

Some steps that companies must take so they can use AI:
- Companies must change their “culture, goals and outlook” to become more innovative
- Companies must have an AI Team (Technical and Domain Experts) to create, operate and handle AI
- Companies must seek cooperation between the Business Team and the Technical Team
- Companies must prioritize the use of AI
- Top Leaders and Executives in companies must start using AI first
- Companies must increase investment, technology, processes, research, and talent related to AI
- Companies must build more responsible AI from the start so that privacy and data can be in a safe position
- Companies must provide education about AI to their employees, including providing training to employees on how to use AI responsibly and effectively
- Companies must have clear policies on the Appropriate Use Of AI
- Companies must provide employees with the opportunity to participate in making decisions regarding AI Operations


AWS And AI

Facts about AWS and AI:
- AWS has been using AI for over 20 years
- Over 20 years of work in the field of AI, AWS has had millions of clients
- AWS has External Data Experts and Machine Learning University (MLU) who research, build, and operate AI
- Some AI Tools created by AWS are ready-to-use AI Tools

Some AI Tools created by AWS:
- Chatbots
- Virtual System
- Virtual Assistant
- Smart Contact Center
- Cloud Platforms

AWS trains those who want to understand, implement, and start using AI. Training is provided to:
- Employee
- Data Scientist
- Data Engineer
- Business Analyst
- Application Developer
- Statistician
- Business Expert
- IT Practitioner
- Business Line Leader

The training provided by AWS also creates open management so that all employees and departments can work together to use and handle AI.

AWS's role in the development of AI in various businesses and enterprises:
- In a Sports Organization, AI by AWS can prevent injuries to athletes, improve training and recovery, provide equipment protection, and more.
- At an Investment Research Company, AI by AWS can automate the process of collecting data, expanding the number of funds, and evaluating funds.
- In a Healthcare Institution, AI by AWS can map the entire human brain and how it works, treat brain diseases, perform therapies, and increase neuroscience knowledge.
- In an AI Laboratory, AI by AWS improves customer service, saves time on work, and collects data.

By learning from AWS, I now have a deeper knowledge of AI. Yes, the AI Journey is here and it is happening now and today!


#AI #AWS #Artificial #Intelligence #ArtificialIntelligence #Generative #GenerativeAI #IT #AmazonWebServices #Amazon #Web #Service #Machine #Learning #MachineLearning #ML #Data #Content #Image #Video #Music #Robot #Blog #SocialMedia #Technology #Technical #Domain #Privacy #Policy #Tool #Chatbot #Virtual #Smart #Cloud #Scientist #Engineer #Analyst #Application #Developer

#Learn #Companies #Knowledge #Company #Investment #Research #Course #Training #Information #Human #Conversation #Story #Work #Time #Operation #Cost #Performance #Productivity #Business #Customer #Experience #Engagement #Creativity #Financial #Marketing #Innovation #Culture #Talent #Leader #Management #Fund #Sport #Brain #Neuroscience #Laboratory #Healthcare