Cognizant Modernizes EmblemHealth Legacy Systems

Migrating and consolidating disparate, outdated legacy systems/applications to Oracle's single integrated platform across its finance

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CIOL Bureau
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Cognizant

Cognizant announced its work with New York City based health insurance provider EmblemHealth, one of the largest non-profit health insurers in the U.S., to consolidate all of its applications and operations using Oracle Cloud Applications.

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EmblemHealth is at the forefront of change and committed to finding new ways to deliver quality care at affordable prices. The company began working with Cognizant in 2016 to transform and modernize their entire technology infrastructure and business processes. By migrating and consolidating disparate, outdated legacy systems / applications to Oracle's single integrated platform across its finance, human resources and supply chain systems, EmblemHealth will be able to reduce costs, capitalize on emerging business models, create new sources of revenue, and better support the complex needs of providers.

"As a not for profit health plan, we are committed to reinvesting in our members and all who depend on EmblemHealth," said Tom MacMillan, Chief Information Officer of EmblemHealth. "We partnered with Cognizant to help us reimagine and digitally transform our infrastructure and processes to make it easier for our partners to work with us and access the resources they need, when they need them. Our transition to Oracle's full suite of cloud services is a key achievement in our long-term strategy with Cognizant to digitally transform our business."

"Healthcare organizations need to become more agile than ever before in order to meet ever changing customer expectations and stay ahead of a rapidly changing competitive landscape," said Camillo Speroni, Vice President, WW Strategic Alliances, Oracle. "With Oracle Cloud Applications, EmblemHealth will move to an innovative platform that will modernize their processes and prepare them for future growth."

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"As the market transitions to digital solutions that offer enhanced transparency and engagement, operations must be planned out appropriately to navigate the often expensive and disruptive shift to cloud technology, mobile-platforms, and analytics-driven software," said Kaushik Bhaumik, Executive Vice President and Global Leader of Healthcare at Cognizant. "The decision to implement the full suite of Oracle Cloud Applications at one time reduced the impact on operations and has ensured EmblemHealth is prepared to meet the demands of tomorrow's digital world. As the healthcare industry continues to evolve to better value-based outcomes, EmblemHealth has taken the proactive and necessary steps to begin transforming their business to effectively compete, grow, and adapt to the needs of tomorrow's customers."

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Which reel-life AI will come true? 25 filmi options

There are hundreds of movies which have dealt with the subject of AI and robots, which deal with both utopia and dystopia. A look at a select few.

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Sunil Rajguru
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We are finally entering the age of AI and robots. How will the future pan out? Films have imagined this scenario in great detail. Which of the following plots will follow the real-life scenarios that await us?

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Note: Heavy spoilers all the way, maybe including the ending. Also this is not a comprehensive list. There have been hundreds of such movies.

1. Metropolis, 1927: This is a dystopia where a robot-AI is made in the image of the heroine to gain the trust of agitating workers. Features a thrilling climax that has both the heroine and her robotic doppelganger.

2. The Day the Earth Stood Still, 1951: Gort the robot comes from outer space. It is the ultimate killing machine and assistant to the alien Klaatu who has come to ensure peace on Earth.

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3. 2001: A Space Odyssey, 1968: A HAL 9000 computer, which interacts with the crew like a human, sabotages the entire spaceship and mission, because of human lies and “conflicting instructions”.

4. Colossus: The Forbin Project, 1970: The Americans develop a supercomputer called Colossus. The Russians develop a supercomputer called Guardian. What happens when the two meet? They bond like buddies and go rogue!

5. Silent Running, 1972: Three drones named Huey, Dewey, and Louie (after the Disney duck kids) are treated like children by our hero. They are taught to play poker, plant trees, and even bury the dead.

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6. Westworld, 1973: Androids in an amusement park look human. You can interact with them, fight with them and even have sex with them. A malfunction leads to an android becoming the hunter.

7. The Stepford Wives, 1975: Wives too good to be true, totally submissive to the husband, always grooming themselves and doing housework. Turns out they are robots which can be bought from the supermarket. 

8. Logan’s Run, 1976: In the future, human survivors live in geodesic domes, run by a computer. It is an utopia where you are allegedly renewed at the age of 30. Of course the truth of the computer is something different.

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9. Star Wars, 1977: This introduces us to the two most lovable robots of all time, R2-D2 and C-3PO. Very much part of the plot, a lot more robotic intelligences are introduced in the subsequent films. 

10. Star Trek: The Motion Picture, 1979: The US launched interstellar probes Voyager 1 & 2. In this film, Voyager 6 enters a black hole and is given life by a species of living machines and takes the name V’Ger.

11. Alien, 1979: Ash, the science officer of the spaceship is an android sent by the company ordered to bring back the alien at any cost. Such an android is a recurring theme of the Alien franchise.

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12. Saturn 3, 1980: Hector is from the Demigod Series of robots made with brain tissue. What follows is a jealous Hector rebelling against the crew of Saturn’s third moon and resembles a horror movie.

13. War Games, 1983: A high school hacker in an era of DoS prompt codes accidentally hacks into a NORAD supercomputer and almost triggers World War III.

14. The Terminator, 1984: This introduced us to Skynet, which has been described as an AGI, an ASI and a Singularity. Skynet triggers a nuclear war that destroys most of humanity and gives us cool Terminators, the ultimate killing robots. 

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15. Virtuosity, 1995: SID (Sadistic, Intelligent, Dangerous) is a Virtual Reality mix of the worst serial killers in history. On the verge of being shut down, it tricks engineers into entering an android, going on the rampage in the real world.

16. Bicentennial Man, 1999: The 200-year-old journey of a robot who expresses creativity at the beginning, becoming a professional clockmaker and finally being recognized with all the rights of a human being. 

The 2000s

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17. I, Robot, 2004: VIKI (Virtual Interactive Kinetic Intelligence) is a highly sentient AI which goes rogue, within the parameters set by the creators, and eventually has to be shut down.

18. Iron Man, 2008: Here we have J.A.R.V.I.S. (Just a Rather Very Intelligent System). Initially a controller of the Iron Man suit, it evolves, becomes more powerful and through a series of adventures becomes the Vision android.

19. WALL-E, 2008: When WALL-E (Waste Allocation Load Lifter: Earth-class) met EVE (Extraterrestrial Vegetation Evaluator). This cute humanlike robot goes through the human emotions of duty, solitude, friendship (with a cockroach) and finally love.

20. Moon, 2009: A lone astronaut on the moon only has the company of GERTY, a robotic AI console with a smiley. GERTY helps our hero uncover a conspiracy surrounding them originating on Earth.

21. Her, 2013: What happens when your home AI assistant OS Samantha has the perfect voice, learns and grows, even at a psychological level? That bond and the subsequent ups and downs form the plot of the movie.

22. Ex Machina, 2014: What starts off as a pretty female android robot called Ava being administered a Turing Test ends up being a sinister cat and mouse game.

23. Transcendence, 2014: Our dead hero’s consciousness is uploaded onto a quantum computer. Our hero tries to create a tech utopia and makes breakthroughs in nanotech, medicine and energy. That’s when things go totally awry.

24. Avengers: Age of Ultron, 2015: Here we have the android Ultron, who has a God Complex and wants to wipe out the human race. The Avengers beat him, and it is destroyed by Vision.

25. Chappie, 2015: Militaristic attack robots are patrolling the streets of Johannesburg. Our hero develops an AI and uploads it into a damaged robot, Chappie. The robot starts off as a child and is trained to become a gangster.

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Data privacy in 2025: AI redefining compliance and risk management

From consumer behavior and financial transactions to health records and location-based services, data is now the lifeblood of business operations.

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CIOL Bureau
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In an era dominated by digital transformation, data privacy has emerged as one of the most critical issues of our time. The rapid proliferation of data-driven technologies, combined with increasingly stringent regulations, has forced organizations to rethink their approach to privacy, compliance, and risk management. In 2025, Artificial Intelligence (AI) has become a pivotal tool in helping businesses navigate this complex and evolving landscape.

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Growing complexity of data privacy
The digital economy of 2025 is fuelled by unprecedented volumes of data. From consumer behaviour and financial transactions to health records and location-based services, data is now the lifeblood of business operations. However, with great volumes of data comes the pressing need to protect it. 

Regulations like the EU’s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and India’s Digital Personal Data Protection Act (DPDPA) have set new benchmarks for data privacy, requiring organizations to meet higher standards of transparency, accountability, and security.

Compliance is no longer a box-ticking exercise; it’s a continuous, dynamic process that demands adaptability to changing laws, real-time monitoring of data flows, and immediate response to potential breaches. This is where AI is stepping in to redefine how businesses manage their privacy obligations.

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AI as catalyst for enhanced compliance
AI-powered tools have revolutionized the compliance processes by automating the monitoring, analysis, and management of sensitive data. Machine learning algorithms are now capable of scanning vast amounts of information to detect anomalies, classify data, and ensure compliance with privacy laws.

For instance, AI systems can automatically identify personal identifiable information (PII) within datasets, flagging potential violations before they occur. These tools also assist in streamlining data mapping—a critical process for businesses to understand how and where sensitive data is stored and processed. With AI, organizations can maintain up-to-date records of processing activities, making audits less daunting and ensuring that they stay ahead of regulatory requirements.

Moreover, AI enables predictive risk assessment by analyzing patterns and trends in data usage. This proactive approach allows businesses to identify vulnerabilities and address them before they lead to compliance failures or security breaches.

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Strengthening data security with AI
AI is also redefining risk management by fortifying data security. As cyber threats grow in sophistication, traditional security measures often fall short. AI-driven solutions, such as behavioral analytics and anomaly detection, can identify suspicious activities in real time, protecting sensitive data from unauthorized access.

Advanced AI models can simulate potential cyberattacks to test the resilience of an organization’s defenses. By using AI to monitor and respond to security threats, businesses not only protect their data but also reduce the likelihood of costly breaches that could result in reputational damage and regulatory fines.

Ethical considerations in AI-driven privacy management
While AI offers immense potential for data privacy, it also raises ethical concerns. Questions about bias, transparency, and accountability in AI systems are becoming increasingly relevant. For AI to be a true enabler of privacy, organizations must ensure that their algorithms are designed and trained in an ethical manner, avoiding the risk of inadvertently violating privacy principles.

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Additionally, as businesses use AI to manage privacy, they must strike a balance between automation and human oversight. While AI can process data faster and more efficiently than humans, decisions involving sensitive data often require ethical judgement that only humans can provide.

Future of data privacy with AI
As we move deeper into 2025, the integration of AI in data privacy management is expected to grow. Organizations will increasingly adopt AI tools not just to comply with existing regulations but to anticipate future requirements and trends. This shift will drive a culture of proactive privacy management, where businesses prioritize transparency and trust as competitive advantages.

In addition to compliance, AI’s role in risk management will expand to include the development of advanced frameworks that assess not just the likelihood of breaches but also their potential impact. This holistic approach will enable organizations to align their privacy strategies with broader business objectives, creating a more secure and trustworthy digital ecosystem.

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Data privacy in 2025 is no longer a standalone concern but a fundamental aspect of business strategy. With AI at the forefront, organizations have the tools to redefine compliance and risk management, ensuring that they not only meet regulatory requirements but also foster trust among their stakeholders.

In this new landscape, businesses that embrace AI-driven privacy solutions will not only safeguard their data but also position themselves as leaders in the digital economy, setting the standard for ethical and responsible data management. As AI continues to evolve, its potential to transform the realm of data privacy will only grow, paving the way for a safer and more transparent future.

-- Praveen Joshi, MD, RSK Business Solutions.

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