Many companies face challenges with traditional rule-based systems for anomaly detection, resulting in delayed reporting, desensitized engineers, and decreased performance. Addressing these issues is crucial to minimizing the impact of incidents and improving overall operational efficiency.

Challenges

  • Rule-based systems rely on predefined rules, making them less adaptable to changes in the data patterns.
  • Setting appropriate thresholds for rule-based anomaly detection can be challenging. A threshold that is too low may lead to false positives, while a threshold that is too high may result in false negatives.
  • When the individual data items are large and arrive rapidly and from varied sources, static analysis is not an option. Distribution of input data shifts over time — for example, during a holiday shopping event, or when a new product is launched, phone/internet network is unstable. In such settings, the anomaly thresholds need to be adjusted automatically.
  • Rule-based systems lack the ability to learn and adapt autonomously from the data. They cannot adjust their rules dynamically based on evolving patterns, which limits their ability to respond to changing environments.

Watch Solution Video

The solution offered by Agivant involves comprehensive analysis of incoming tickets, logs, metrics, and traces to proactively identify and address issues within an organization's systems. Using advanced AI/ML techniques, the solution conducts Root Cause Analysis (RCA) and trend analysis to identify recurring patterns and anomalies in real-time.

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Components of the solution

Collection and Preprocessing: Data Gather and preprocess data from various sources.
Establishing a Baseline: Define a baseline of normalcy using historical data.
Algorithm Selection: Choose appropriate algorithms for anomaly detection.
Model Training and Fitting: Train models on historical data and fit them to current data.
Anomaly Detection and Validation: Detect anomalies in real-time and validate them against predefined thresholds.
Feedback Loop: Continuously update models based on feedback and evolving patterns.
Continuous Monitoring: Monitor key metrics in real-time for proactive response.

How do we update our model in real-time?

Brute Force Updates

The simplest solution is to simply recompute our parameters on the most recent data window every time a new data point arrives. However, this can be infeasible if fitting the model to the window is too computationally complex.

Scheduled Updates

We can cache our model parameters for a given period of time, say 24 hours, and retrain on the new data points at the end of each period. However, excessive false positive alerts can occur if the behavior of our metric changes before our scheduled update.

Event Driven Updates

If a high prediction error for the recent set of data points has been detected, we can use this as an opportunity to recompute our model parameters. Event-driven updates are unpredictable, which can lead to operational challenges in the future.

Online Updates

For some algorithms, it is also possible to reformulate them to work in the online setting: continuously reading in new data points and efficiently updating the parameters with each data point.

Key Benefits

Comprehensive Data Analysis

Agivant's solution analyzes various types of data sources including tickets, logs, metrics, and traces.

RCA and Trend Analysis

Through sophisticated AI/ML algorithms, the solution conducts Root Cause Analysis (RCA) and trend analysis to identify recurring trends and potential issues.

Real-time Anomaly Detection

The solution detects anomalies in real-time for both one-off and recurring issues, enabling swift action to mitigate potential disruptions.

Post-call Analysis

Post-call analysis is conducted to identify and address new issues that may arise, ensuring continuous improvement of systems and processes.

Minimization of False Positives

Advanced algorithms are employed to minimize false positives, ensuring that alerts are accurate and actionable.

Rapid Alerting

Alerts are sent to the appropriate teams within minutes of detecting anomalies, enabling timely response and resolution.

Agivant empowers companies to enhance incident response, minimize downtime, and optimize operational efficiency through proactive anomaly detection and monitoring. By leveraging advanced AI/ML techniques, companies can stay ahead of potential issues and maintain high-performance levels in dynamic data environments.

Ajay Malgaonkar

Chief Digital Delivery Officer

Ajay is a seasoned technology leader with over 28 years of experience driving digital transformation across global enterprises and helping clients achieve their strategic objectives. Ajay’s passion for innovation-led growth, coupled with his ability to scale operations while maintaining agility, makes him a natural fit for Agivant’s mission.


Before joining Agivant, Ajay spent a decade at Prolifics Corporation, a US-headquartered digital engineering firm, where he led integrated engineering teams and delivered transformative AI-driven solutions to marquee clients. His focus on innovation, scalability, and agility made him a key architect of Prolifics’ digital success.


Earlier in his career, Ajay spent ten years at Infosys, where he led the digital practice and delivered large-scale, complex e-commerce and transformation programs across North America, Europe, and the Asia-Pacific region. Ajay’s impact has been widely recognized in the industry. In 2023, he was named one of India’s Next 100 Future CIOs by ITNext and received the ET Inspiring Leader Award.


He holds a Bachelor's degree in Engineering from Sardar Patel College of Engineering and a Post Graduate Diploma in Information Systems from the Somaiya Institute of Management Studies and Research in Mumbai. Ajay’s career reflects a consistent ability to scale digital operations, lead high-impact transformations, and inspire cross-functional teams to deliver value with speed and precision.

Agivant Technologies

Sandeep Kishore

Founder and CEO

Sandeep is a proven CEO, key strategist, and trusted board director with over three decades of experience in the technology industry. He is a highly effective coach and mentor, known for his bold thinking and innovation. Throughout his career, Sandeep has demonstrated a remarkable ability to create and grow successful businesses.

Before founding Agivant, Sandeep served as an Executive Partner with Siris Capital Group, a leading Private Equity firm. Prior to that, he was the CEO & MD of Zensar Technologies from 2016-2021, where he spearheaded a massive turnaround, transforming the company into a fully digital enterprise. This successful transformation was featured as a case study by both Harvard Business School and London Business School.

Sandeep's career also includes over 25 years at HCL Technologies, where he held various leadership roles and built several billion-dollar businesses. An alumnus of IIT Bombay, he is a dedicated board advisor, mentor, and passionate advocate for social impact. He co-founded the Har Asha Foundation, a philanthropic initiative focused on helping young adults develop essential workforce skills. Beyond his professional achievements, Sandeep is also a published poet with two acclaimed books.

Agivant Technologies

Shree Krishna Somani

Head of Business Success

Shree is a dynamic and accomplished leader, uniquely positioned at the intersection of finance, strategy, and technology. As Head of Business Success at Agivant Technologies, he is focused on driving client centricity and overall organization effectiveness. He has a proven track record of delivering impactful results in leadership roles, consistently demonstrating an ability to translate vision into tangible outcomes.


Prior to Agivant, Shree served as Assistant Vice President at Aavas Financiers Ltd, where he led Business Process Re-engineering and Digital Transformation initiatives, showcasing his ability to modernize operations and enhance efficiency. He also contributed to enterprise risk analytics and strategic planning. Earlier, during his tenure in the CEO’s Office at Zensar Technologies, he played a pivotal role in driving corporate and business strategy, advising on M&A evaluations, and leading key strategic initiatives for the CEO. Shree began his leadership journey with the Aditya Birla Group Leadership Program.


An alumnus of XLRI Jamshedpur and University of Delhi, Shree blends a strong academic foundation with extensive practical experience. This combination underpins his proven ability to drive significant impact and deliver compelling business results across complex organizational landscapes.

Agivant Technologies