IDSA on Center Stage at Data Natives of Europe

By Prof. Dr. Chris Schlue­ter Lang­don

Deut­sche Tele­kom is a proud mem­ber of IDSA, and its Tele­kom Data Intel­li­gence Hub (DIH) is an acti­ve par­ti­ci­pant in the IDSA Laun­ching Coali­ti­on. It is inves­ting to imple­ment IDS and dri­ve the adop­ti­on of IDS con­cepts, it hos­ted the 2019 Sum­mer Sum­mit and with its DIH Trus­ted Con­nec­tor it was able to launch a first ”IDS_ready” cer­ti­fied pro­duct. So, when IBM kind­ly invi­ted us to join Data Nati­ves, we brought IDSA and IDS blue­prints with us on sta­ge.

Data Nati­ves of Euro­pe meet in Ber­lin

Data Nati­ves “is Europe’s lar­gest event plat­form for the data-dri­ven genera­ti­on”. Foun­ded in 2015 it has grown to 70,000+ com­mu­ni­ty mem­bers, with 50+ events in key tech hubs and with an annu­al Data Nati­ves flagship con­fe­rence in Ber­lin.

The last Data Nati­ves was hos­ted in the Kühl­haus event space, build in 1901 as Europe’s lar­gest “fri­dge” and loca­ted near the old Anhal­ter Bahn­hof at Gleis­drei­eck just south of the famous Pots­dam Pla­za in Ber­lin. Insi­de Kühl­haus the con­trast could not have been star­ker: No histo­ry but ever­ything was focu­sed on the future of data. More than 180 spea­kers and 28 satel­li­te events laid out the sta­te of the art in data sci­ence and engi­nee­ring. And IDSA was the­re, too, right in the midd­le of it on cen­ter sta­ge as part of a joint pre­sen­ta­ti­on of IBM and the Tele­kom Data Intel­li­gence Hub (see Figu­re 1).

Figure 1: IDSA on Stage with IBM and Telekom Data Intelligence Hub

I was hono­red to join the sta­ge with Nadi­ne Brehm, IBM’s sales lea­der for Arti­fi­cial Intel­li­gence & Data in Ger­ma­ny.  We pre­sen­ted on “Imple­men­ting a Data Ops Stra­te­gy to Build Up a Data Fac­to­ry.” The talk is moti­va­ted by today’s data dis­as­ter: too much time spent on data ins­tead of ana­ly­tics results. Today, 80+% of the time bud­get of a data ana­ly­tics pro­ject is spent on data collec­tion, extrac­tion and refi­ne­ment (for facts and figu­res, click here). Today, data ana­ly­tics is fol­lowing the Pare­to princip­le, a busi­ness effi­ci­en­cy indi­ca­tor, in rever­se, and con­se­quent­ly, data ana­ly­tics is not sca­ling.

Data fac­to­ry with data sov­er­eig­n­ty by IDSA

Lea­ding tech com­pa­nies, like IBM and Deut­sche Tele­kom, are inves­ting to sol­ve this pro­blem. Nadi­ne and I are actively invol­ved in the­se efforts and we were able to share first results with Europe’s data experts: Devi­se a data ops stra­te­gy and imple­ment it with a data fac­to­ry (see Figu­re 2).

Figure 2: A Data Factory Framework – Undergirded by Science, Evolved from Industry Best Practice

The ana­lo­gy is how Hen­ry Ford chan­ged the auto busi­ness with auto­ma­ti­on to high volu­me pro­duc­tion and dis­tri­bu­ti­on. Data needs simi­lar tre­at­ment to sca­le. Today, the Tele­kom DIH is alrea­dy offe­ring a data exchan­ge solu­ti­on cal­led “Mar­ket­place”. The city of Bonn is a cus­to­mer, for examp­le. A data exchan­ge or por­tal is gre­at, becau­se it allows data sci­en­tists to find, collect and aggre­ga­te or pool data, par­ti­cu­lar­ly for data-hungry arti­fi­cial intel­li­gence app­li­ca­ti­ons. Howe­ver, one pro­blem with data exchan­ge or sharing is loss of con­trol.

How to pro­tect your rights to the data, how to ensu­re data sov­er­eig­n­ty, how to mana­ge data gover­nan­ce as your data lea­ves the fac­to­ry? One solu­ti­on is the IDS stan­dard born from Fraun­ho­fer R&D. It has been fur­ther deve­lo­ped by the rese­arch com­mu­ni­ty around Prof. Dr. Boris Otto, head of Fraun­ho­fer ISST, and expan­ded into the pan-Euro­pean initia­ti­ve of IDSA, today. At the 2019 Han­no­ver Fair the Tele­kom DIH pre­sen­ted the first IDS_ready Trus­ted Con­nec­tor, our Ver­si­on 1.0. At Data Nati­ves I was able to report steady pro­gress and bring along our Trus­ted Con­nec­tor Ver­si­on 1.1.

This arti­cle is based on a lon­ger pie­ce on the Data Intel­li­gence Hub Jour­nal.