Feb 22, 2021

TigerGraph raises $105mn for big data analytics

Data
Analytics
TigerGraph
Machine Learning
William Smith
2 min
TigerGraph’s graph analytics offering allows for the rapid formation of new models from data, using relational databases to identify patterns
TigerGraph’s graph analytics offering allows for the rapid formation of new models from data, using relational databases to identify patterns...

Redwood City, California-based TigerGraph offers cloud-based graph analytics for use in areas such as machine learning.

As analytics has moved into the cloud, companies are increasingly looking at gleaning new forms of insight into their data.

What is graph analytics?

Graph analytics involves analysing the connections between data points, with TigerGraph’s offering allowing the rapid formation of new models from data and deployed across multiple clouds, using relational databases to identify patterns and delivering recommendations.

The company hailed the impetus for digital transformation stemming from the ongoing COVID-19 pandemic as providing it with customer keen on gaining insights about their businesses.

Since the company’s foundation in 2012, it has raised over $170mn across six funding rounds. Its latest Series C round alone saw the company raise $105mn from investor Tiger Global Management.

“For over 40 years, business’s #1 data management challenge has been how to easily ask business questions across all of their data in real-time to guide their operations. The human brain connects data to derive new insights and helps us decide what to do next. TigerGraph’s mission is to power an enterprise brain with graph and AI that discovers these new insights within the enterprise data stored in the cloud and on-prem,” said Dr. Yu Xu, founder and CEO of TigerGraph.

Serving Asia’s digital economy

The company said it would use the funds to assist with opening offices in the Asia Pacific region to tap into demand from its growing digital economy, with locations opening in Singapore and Indonesia.

Todd Blaschka, the company’s COO, said: “Our mission is to help governments, businesses and people to unlock the power of their data and drive actionable, real-time insights-driven decision-making. TigerGraph already works with the top four largest banks in Asia helping these customers across areas such as Real-time Fraud Detection, Anti-Money Laundering, Credit Risk Assessment, and Customer 360 Analysis. We also work with key telcos in the region, enabling them to analyse customer behaviour and prevent fraud.” 

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Jun 16, 2021

SAS: Improving the British Army’s decision making with data

British Army
SAS
3 min
Roderick Crawford, VP and Country GM, explains the important role that SAS is playing in the British Army’s digital transformation

SAS’ long-standing relationship with the British Army is built on mutual respect and grounded by a reciprocal understanding of each others’ capabilities, strengths, and weaknesses. Roderick Crawford, VP and Country GM for SAS UKI, states that the company’s thorough grasp of the defence sector makes it an ideal partner for the Army as it undergoes its own digital transformation. 

“Major General Jon Cole told us that he wanted to enable better, faster decision-making in order to improve operational efficiency,” he explains. Therefore, SAS’ task was to help the British Army realise the “significant potential” of data through the use of artificial intelligence (AI) to automate tasks and conduct complex analysis.

In 2020, the Army invested in the SAS ‘Viya platform’ as an overture to embarking on its new digital roadmap. The goal was to deliver a new way of working that enabled agility, flexibility, faster deployment, and reduced risk and cost: “SAS put a commercial framework in place to free the Army of limits in terms of their access to our tech capabilities.”

Doing so was important not just in terms of facilitating faster innovation but also, in Crawford’s words, to “connect the unconnected.” This means structuring data in a simultaneously secure and accessible manner for all skill levels, from analysts to data engineers and military commanders. The result is that analytics and decision-making that drives innovation and increases collaboration.

Crawford also highlights the importance of the SAS platform’s open nature, “General Cole was very clear that the Army wanted a way to work with other data and analytics tools such as Python. We allow them to do that, but with improved governance and faster delivery capabilities.”

SAS realises that collaboration is at the heart of a strong partnership and has been closely developing a long-term roadmap with the Army. “Although we're separate organisations, we come together to work effectively as one,” says Crawford. “Companies usually find it very easy to partner with SAS because we're a very open, honest, and people-based business by nature.”

With digital technology itself changing with great regularity, it’s safe to imagine that SAS’ own relationship with the Army will become even closer and more diverse. As SAS assists it in enhancing its operational readiness and providing its commanders with a secure view of key data points, Crawford is certain that the company will have a continually valuable role to play.

“As warfare moves into what we might call ‘the grey-zone’, the need to understand, decide, and act on complex information streams and diverse sources has never been more important. AI, computer vision and natural language processing are technologies that we hope to exploit over the next three to five years in conjunction with the Army.”

Fundamentally, data analytics is a tool for gaining valuable insights and expediting the delivery of outcomes. The goal of the two parties’ partnership, concludes Crawford, will be to reach the point where both access to data and decision-making can be performed qualitatively and in real-time.

“SAS is absolutely delighted to have this relationship with the British Army, and across the MOD. It’s a great privilege to be part of the armed forces covenant.”

 

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