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“We now accept the fact that learning is a lifelong process of keeping abreast of change. And the most pressing task it to teach people how to learn.” ~ Peter Drucker

Microsoft Fabric Analytics and DevOps Enterprise Summit Innovations

On Friday, November 24th, 2023, I had the privilege of attending two remarkable events. Microsoft extended an invitation for their in-person gathering, “Microsoft Discovery Day: Transform Data Value Creation for the AI Era,” and concurrently, 1.21GWS ( invited me to speak at the “7th World DevOps & Developers Summit.”

The primary focus of the Microsoft event was to delve into the intricacies of Microsoft Fabric, their latest iteration of the analytics platform. This provided an excellent opportunity to gain insights into the innovative features and functionalities of this new release.

Simultaneously, at the 7th World DevOps and Developers Summit, I had the honour of presenting on the application of Data Science in Cyber Security, particularly in the context of our approach to constructing secure enterprise solutions.

Although I typically maintain a tool and software-agnostic approach in my solutions, the integration of co-pilots across various facets of Microsoft’s Data ecosystem captivated my interest. It was fascinating to explore the synergy between Co-pilots, ChatGPT, and other generative AI experiences. The discussions revolved around their practical applications in the daily lives of engineers, addressing the challenges and opportunities ushered in by this new era of technology.

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Microsoft Fabric: Unleashing Data Excellence with Seamless Integration

Microsoft Fabric seamlessly integrates the strengths of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory, forming a comprehensive Software as a Service (SaaS) platform. This unified platform encompasses seven core workloads, each meticulously designed to cater to specific personas and tasks. The objective is to provide a singular, cohesive experience and architecture for every data professional, thereby reducing the typical costs and efforts associated with integrating analytics services and simplifying the overall data estate.

For more in-depth information, you can explore further details here. As adoption of Fabric grows across various user bases and personas, we anticipate a wealth of additional insights becoming available. One notable highlight was the live demonstration by Ravikanth Musti , which proved both enlightening and promising. The demonstration showcased the remarkable speed at which Co-pilots can contribute to the creation of insightful and meaningful dashboards.

Cybersecurity Insights at DevOps Summit: Data-Driven Strategies

The initial segment of the day involved acquiring new knowledge, whereas the latter part was dedicated to my session at the “7th World DevOps & Developers Summit.” During this session, my focus was on imparting insights into the realm of cybersecurity, particularly addressing the challenges posed by the vast volumes of data that we handle or are exposed to.

The use of Applied Data Science and Machine Learning to improve cybersecurity involves employing advanced analytical techniques and algorithms to enhance the detection, prevention, and response capabilities in the realm of cybersecurity.

Data Science in Cyber Security

Some key aspects that we covered in this topic were:

1.     Threat Detection and Prevention:

  • Anomaly Detection: Data Science and Machine Learning algorithms can analyze normal patterns of user behavior, network traffic, or system activities. Deviations from these patterns can be flagged as anomalies, indicating potential security threats.
  • Predictive Modeling: Machine Learning models can be trained on historical data to predict potential future cyber threats. This proactive approach helps organizations stay ahead of emerging risks.

2.     Incident Response and Forensics:

  • Pattern Recognition: Data Science enables the identification of patterns associated with cyber-attacks. This information can be crucial for forensic analysis to understand the methods employed by attackers.
  • Automated Incident Response: Machine Learning algorithms can be integrated into incident response systems to automate certain decision-making processes, allowing for faster and more efficient response to security incidents.

3.     Malware Detection:

  • Behavioral Analysis: Applied Data Science can be used to analyze the behavior of files and applications. Machine Learning models can identify patterns associated with malicious software, aiding in the detection of new and unknown threats.
  • Signature-less Detection: Machine Learning techniques can go beyond traditional signature-based methods, which are limited to known malware. This is particularly beneficial for identifying zero-day attacks.

4.     User Behavior Analytics:

  • Identifying Insider Threats: Data Science, coupled with Machine Learning, can analyze user behavior to identify anomalous activities that might indicate insider threats or compromised accounts.
  • Continuous Monitoring: Real-time monitoring of user activities helps in promptly detecting any suspicious behavior that deviates from normal usage patterns.

5.     Security Automation:

  • Automated Decision-making: Machine Learning algorithms can enable security systems to make real-time decisions, such as blocking malicious traffic or quarantining compromised devices, without human intervention.
  • Adaptive Security Measures: By continuously learning from new data, Machine Learning models can adapt and improve over time, making security measures more effective and responsive.

Also read: Top Ten Cybersecurity Misconfigurations and Mitigation Techniques

Getting into the details of the Cyber Security Analytics process, we did get to discuss through the steps involved as well:

Cyber Security Analytics Process

We had highly engaging discussions, delving into various topics, including references to the cybersecurity awareness programs we collectively participate in. If anyone is interested in delving deeper into our conversations, feel free to reach out through direct message.

You likely have the means to contact me, or I’ll be reachable through the usual channels. Happy to share more insights!

#altimetrik #continouslearning #cybersecurity #MSDiscoveryDay #DevOps

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Nayan Naidu

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Michael Woodall

Chief Growth Officer of Financial Services

Michael Woodall, as the Chief Growth Officer of Financial Services at Altimetrik, spearheads the identification of new growth avenues and revenue streams within the financial services sector. With a robust background and extensive expertise, Michael brings invaluable insights to his role.

Previously, Michael served as the Chief of Operations and President of the Trust Company at Putnam Investments, where he orchestrated strategic developments and continuous operational enhancements. Leveraging strategic partnerships and data analytics, he revolutionized capabilities across investments, retail and institutional distribution, and client services. Under his leadership, Putnam received numerous accolades, including the DALBAR Mutual Fund Service Award for over 30 consecutive years.

Michael’s dedication to industry evolution is evident through his involvement with prestigious organizations such as the DTCC Senior Wealth Advisory Board, ICI Operations Committee, and NICSA, where he served as Chairman and now holds the position of Director Emeritus. Widely recognized as an industry luminary, Michael frequently shares his expertise with various divisions of the SEC, solidifying his reputation as a seasoned presenter.

At Altimetrik, Michael plays a pivotal role in driving expansion within financial services, leveraging his expertise and Altimetrik’s Digital Business Methodology to ensure clients navigate their digital journey seamlessly, achieving tangible outcomes and exponential growth.

Beyond his corporate roles, Michael serves as Chair of the Boston Water & Sewer Commission, appointed by the Mayor of Boston, and is actively involved in various philanthropic endeavors, including serving on the board of the nonprofit Inspire Arts & Music.

Michael holds a distinguished business degree from Northeastern University, graduating with distinction as a member of the Sigma Epsilon Rho Honor Society.

Anguraj Kumar Arumugam

Chief Digital Business Officer for the U.S. West region

Anguraj is an accomplished business executive with an extensive leadership experience in the services industry and strong background across digital transformation, engineering services, data and analytics, cloud and consulting.

Prior to joining Altimetrik, Anguraj has served in various positions and roles at Globant, GlobalLogic, Wipro and TechMahindra. Over his 25 years career, he has led many strategic and large-scale digital engineering and transformation programs for some of world’s best-known brands. His clients represent a range of industry sectors including Automotive, Technology and Software Platforms. Anguraj has built and guided all-star teams throughout his tenure, bringing together the best of the techno-functional capabilities to address critical client challenges and deliver value.

Anguraj holds a bachelor’s degree in mechanical engineering from Anna University and a master’s degree in software systems from Birla Institute of Technology, Pilani.

In his spare time, he enjoys long walks, hiking, gardening, and listening to music.

Vikas Krishan

Chief Digital Business Officer and Head of the EMEA region

Vikas (Vik) Krishan serves as the Chief Digital Business Officer and Head of the EMEA region for Altimetrik. He is responsible for leading and growing the company’s presence across new and existing client relationships within the region.

Vik is a seasoned executive and brings over 25 years of global experience in Financial Services, Digital, Management Consulting, Pre- and Post-deal services and large/ strategic transformational programmes, gained in a variety of senior global leadership roles at firms such as Globant, HCL, Wipro, Logica and EDS and started his career within Investment Banking. He has developed significant cross industry experience across a wide variety of verticals, with a particular focus on working with and advising the C-Suite of Financial Institutions, Private Equity firms and FinTech’s on strategy and growth, operational excellence, performance improvement and digital adoption.

He has served as the engagement lead on multiple global transactions to enable the orchestration of business, technology, and operational change to drive growth and client retention.

Vik, who is based in London, serves as a trustee for the Burma Star Memorial Fund, is a keen photographer and an avid sportsman.

Megan Farrell Herrmanns

Chief Digital Officer, US Central

Megan is a senior business executive with a passion for empowering customers to reach their highest potential. She has depth and breadth of experience working across large enterprise and commercial customers, and across technical and industry domains. With a track record of driving measurable results, she develops trusted relationships with client executives to drive organizational growth, unlock business value, and internalize the use of digital business as a differentiator.

At Altimetrik, Megan is responsible for expanding client relationships and developing new business opportunities in the US Central region. Her focus is on digital business and utilizing her experience to create high growth opportunities for clients. Moreover, she leads the company’s efforts in cultivating and enhancing our partnership with Salesforce, strategically positioning our business to capitalize on new business opportunities.

Prior to Altimetrik, Megan spent 10 years leading Customer Success at Salesforce, helping customers maximize the value of their investments across their technology stack. Prior to Salesforce, Megan spent over 15 years with Accenture, leading large transformational projects for enterprise customers.

Megan earned a Bachelor of Science in Mechanical Engineering from Marquette University. Beyond work, Megan enjoys playing sand volleyball, traveling, watching her kids soccer games, and is actively involved in a philanthropy (Advisory Council for Cradles to Crayons).

Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indicationsUtilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes