Do you know your history?? ( Part 5)

-
Do you know your history??? If not !  Then this blog will keep you abreast about your history

Syed Family

After deterioration of Tagluk realm, one governor of Lahore, Khizar Khan got control in Delhi and declared his kingdom on name of Syed Family.

Khizar Khan was Syed and was governor in realm of Feroz Shah but he become governor of Taimur after his attacks on sub-continent. He did support to Timur which is why he was given territory of Punjab. However, he fought may battles for crushing revolts in his remaining life and buried in Delhi.

Mubarik Shah was son of Khizar and his whole life also spent  in crushing revolts. Turk and Khokhar were chief revolters in Punjab. Sarwaar Malik on behalf of Delhi government crushed these two revolters. Later, he also killed Mubarik Shah.

Muhammad Shah sat in throne but control was in hand of group of killers. Some officers in Delhi made conspiracy against Sarwar Malik who was later killed . All revolters started conquering their area ad declared independence from central government of Delhi. Behlol Lodhi, governor of Lahore also tried to conquer Delhi but could not get success and declared his independent realm in Lahore.

After demise of Muhammad Shah, his son, Alo-ud-Din Shah sat in throne, however, he was not eligible to manage affairs of sub-continent. He left Delhi and went in Badiun. He was against his one Minister, Hameed Khan who called Behlol who eventually established his kingdom in whole sub-continent.





Stay with us for next blog on remaining parts of our history...........


Comments

Post a Comment

Please do not enter any spam link in comment box.

Popular posts from this blog

Machine learning models in Pakistan agricultural data

-
Machine learning model can be applied on agriculture data to facilitate farmers in increasing the productivity. Pakistan is an agricultural country which has major portion in GDP. There is huge gap in this sector which can be fulfilled by adopting technology. Machine learning model can be applied on agriculture relating data to predict the disease or health of crops and to predict the climate change and to examine the impacts of other factors. This model can automate the processing of agriculture productivity. This model will also help the insurance sector to facilitate the farmers timely in case of tragedy or calmity. We need to train our youth in machine learning roles to increase the share of agriculture sector in GDP and economy.
Read more

Artificial intelligence in all departments of insurance companies

-
 There are many departments in insurance company like product development, underwriting, risk management, claim settlement, premium collection, marketing, accounts, human resource, information technology, law, planning and development, procurement, and others. Artificial intelligence can help of all departmental operations. Artificial intelligence helps in taking and analyzing the driver's data that helps to charge the customized premium as per need of driver for one day or hours or month. This customization and facilitation introduced usage base insurance concept. Artificial intelligence helps to analyse the data of policyholders to predict and categorize the high or low or medium risky profiles of different policyholders. Accordingly it helps in charging the premium rate. This helps in cutting the cost spent on actuary and human error and time. Artificial intelligence helps to automize the accounting operations in calculating the all transactions. Artificial intelligence helps in...
Read more

Machine learning in Health Insurance

-
  Machine learning has significant applications in the health insurance sector, enabling insurers to leverage data-driven insights to improve risk assessment, fraud detection, customer experience, and cost management. Here are some key areas where machine learning is being utilized in health insurance:   Risk Assessment and Underwriting: Machine learning algorithms can analyze a wide range of data sources, including medical records, claims data, demographics, and lifestyle information, to assess the health risks associated with individual policyholders. Insurers can use these insights to determine appropriate coverage, set premiums, and customize insurance plans based on individual health profiles.   Disease Prediction and Early Intervention: Machine learning models can analyze medical and biometric data to identify patterns and indicators that may predict the onset of diseases or health conditions. Insurers can leverage these predictions to promote proactive inte...
Read more