Q&A with Sadiqah Musa, Co-Founder at Black In Data

Sadiqah Musa, Co-Founder at Black In Data, is also an experienced Senior Data Analyst at Guardian News and Media with a demonstrated history of working in the energy and publishing sectors. She is skilled in Advanced Excel, SQL, Python, data visualization, project management, and Data Analysis and has a strong professional background with a Master of Science (MSc) from The University of Manchester.

As people become more aware and concerned about their data, the need for a regulating body will emerge, and organizations’ accountability will be mandated.



MEDIA 7: Could you please tell us a little bit about yourself? What inspired you to pursue a career in Data Analytics?
SADIQAH MUSA:
My name is Sadiqah Musa, I am a Co-Founder of Black in Data, a movement I started to push for inclusivity and diversity in the Data Analytics Industry. My current role is as a Senior Analyst at Guardian. Data Analytics found me as  I originally started my career as a geophysicist, focusing on the exploration of the oil and gas industry and analyzing seismic data. When people ask me, what inspired me to pursue a career change to Data Analytics, I always give an honest and real answer. I didn’t have a sort of epiphany moment where I realized Data Analytics was the new future and therefore I needed to be part of that game, instead, it was simple. At the time when I was considering other career options, there was a huge bust in the oil and gas industry, this is fairly standard and part of the ‘Boom Year, Bust Year’ cycle, however, I wanted a career to give me more stability. Therefore, Data Analytics was this new stable career field, which also allowed me to bring my technical skills of analyzing seismic data for 8 years and general comfort with the skillset I had already had.


M7: What impact do you think analytics & big data will have in the next 5 years?
SM:
I think two major things will happen in the next 5 years: There will be a push in Machine Learning Algorithms and discussions around the Ethics of AI. In terms of Machine Learning Algorithms, this is something that is already happening, but not on a scalable platform/level. The platforms we currently use to create machine learning algorithms are open-source and free, but you will need additional expensive software to turn all of your algorithms into a real, tangible product. At the moment, I'm noticing a shift in this situation, with the software becoming more accessible. As a result, I believe there will be a greater shift in machine learning and natural language processing in the future, where the algorithms will recognize speech and perform functions independently. Discussions on the Ethics of AI are also being held, but as the AI industry continues to grow so will our concern about its morality. A particular area is the biases within the algorithms that people have created, this is an industry that is not being regulated. When we look at things like facial recognition data, we can see that millions of images of our data are being stored without our knowledge. As people become more aware and concerned about their data, the need for a regulating body will emerge, and organizations’ accountability will be mandated.


Some companies and sponsors appear as incredibly supportive and in alignment with our organization however, they fail to provide the financial support needed as well as offer their resources to push our organization further.



M7: What have been your two biggest challenges as a co-founder at Black in Data, and how did you tackle them?
SM:
Our biggest challenge has been a reluctance to follow through with the discussions regarding implementing change and diversify the workplace. Whilst we have inspired a lot of initial interest and support regarding our movement, the difficulty lies within having our sponsors or facilitating companies commit to tangible change and action. However, we have been working to resolve this and openly having these discussions with our proposed sponsors. Also, another challenge we face, as many non-profit organizations must face, relates to our finances. Some companies and sponsors appear as incredibly supportive and in alignment with our organization however, they fail to provide the financial support needed as well as offer their resources to push our organization further.


M7: You have recently partnered with CodeUntapped, Frocentric_tech and Google Digital Garage. Could you please tell us about some of the developments that all of you at Black in Data are excited about?
SM:
At Black, In Data we are most excited about our latest partnership with CodeUntapped. It is a partnership where we get people from BID, put them into a training scheme with CodeUntapped and then put them into Jobs with amazing Organisations. The training scheme lasts for 6 weeks, is completely paid and by the end of the training scheme, the candidates are placed into the physical role that they have been training for. Once contracted for roughly 9 to 12 months, training continues. The usual outcome is securing a permanent role with the company. With Frocentric, this is an exciting person of the color networking data-industry site. It strives to connect all the different tech sectors to one platform where we can all network and support each other. It ranges from Black Founder of Data Science, AI Companies and Data companies and bringing them together to break down the compartmentalized and fractured industry. Finally, Google Digital Garage is an incredible platform that enables us to provide soft skills training ranging from CV writing to Google Digital analytics.


Traditionally people used to consume their news via structured platforms, however social media is allowing you to get the raw content from the people that are being the most impacted.



M7: What do you see as the most noticeable change right now happening in the workforce, encouraged by the rise of social media and digital technologies?
SM: 
The most noticeable change happening in the workforce is down to the impact of social media being used as a tool for awareness and awakening. Traditionally people used to consume their news via structured platforms, however social media is allowing you to get the raw content from the people that are being the most impacted. This has been fantastic for people of color, trying to educate on their lived experiences, share them and finally bringing it to the fore so that organizations have to address it. Topics typically neglected as well as deemed taboo have now been brought to light, forcing companies to evaluate their workplace treatments and biases.


M7: What is your advice to the young women who are starting out their careers in Data Analytics?
SM:
The most important thing to do is ensure that you have all of the necessary technical skills, such as being extremely proficient in Statistics, which is a critical component of Data Analytics. One thing I was never told about that I now realize is the significance of, is being able to do storytelling with Data. Usually, you might just think analyzing your data and presenting your findings is enough but you need to master how to explain your findings very well. It is also easy to second-guess yourself, so you need to be confident in your ability and trust yourself. Ultimately, I’d say be kind to yourself. Growing up, I was exceptionally scared of failure but it is all those mistakes that have shaped me into the analyst that I am today!

ABOUT BLACK IN DATA

Black in Data is a collaborative movement for people of colour, striving to promote equality of opportunity and representation within the data industry. Diversity and equality at work is crucial not only for social justice, but also for the development of a flourishing data and technology industry, able to adapt in a dynamic world. The face of the workforce is changing, and  every industry benefits from the greater breadth of knowledge, skills and personal experience that this greater diversity brings. Black in Data aims to energise and accelerate this pace of change.

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But laborious processes can often end in a “bulk approval” to save time and check an audit box instead of accurately reviewing access rights to ensure the right business outcomes. RadiantOne’s AI-driven approach will be a paradigm shift in the way people work, forever transforming and streamlining the usually time-consuming UAR process down to days and minutes instead of months. “Historically, user access reviews are a highly manual process–a ‘necessary evil’ within security practices. This approach not only creates fatigue for the team but also introduces a considerable amount of risk,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “While this may work in the short term to satisfy auditor requirements, the company’s assets are never truly protected. There is also still the risk that something may be overlooked, or someone within the business has retained access to something they shouldn’t. With RadiantOne AI and AIDA, existing IAM and IGA processes can be automated and simplified for overworked teams trying to comb through mountains of user access data to make the right decisions to protect their organizations.” With RadiantOne AI, conducting a user access review becomes as easy as following AIDA’s guidance. Using the power of large language models to drive advanced data correlation, contextualization and analysis, combined with an intuitive data visualization dashboard, AIDA will reinvent the user access review ritual. Based on an organization's proprietary data, the fully guided UAR experience will allow reviewers to interact and pose questions to AIDA using natural human language, like “where does this access come from?” or “show me who else has these access rights?” AIDA will highlight any potential user access risks, offer expert insight, and suggest remediations or access modifications based on an organization’s policies. Any changes, such as low risk bulk access approvals or revoking atypical access rights, are completed via a click of a button, so there’s less training required to complete the reviews and less risk of human error during the process. RadiantOne AI’s AIDA-guided user access review capability works to provide enterprise organizations with: Automated workflows: Leverage vast data sets and contextual insights to make intelligent and confident decisions about access rights. Simplified compliance: Easily detect over-privileged accounts or atypical access rights with intuitive data visualization techniques. Greater visibility into user actions: Get beyond roles quickly to see who has access to what and how they received that access so insights and remediations are easily actionable. Click-button remediation: Based on the insights and recommendations from AIDA, reviewers can approve or revoke access or atypical rights individually or take bulk approval/rejection actions with the click of a button. Data into the hands of business owners: Put relevant, risk-based identity data insights into the hands of business users in the language they understand to make it a breeze to adhere to compliance policies. “User access reviews with AIDA are just the beginning,” comments Joe Sander, Radiant Logic’s CEO. “Using RadiantOne’s AI engine, we see potential to revolutionize identity data management, governance, risk, compliance and cybersecurity processes by removing complexity as a roadblock. This frees up critical IT and security resources to focus on other business-critical tasks and expands the role of identity to truly be a business enabler.” RadiantOne AI comes on the heels of the completion of the integration of Brainwave Identity Analytics into the RadiantOne Identity Data Platform. AIDA will initially be available as a complement to the RadiantOne Identity Analytics solution. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

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